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            <title>Table of contents</title>
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            <title>IEEE Transactions on Neural Systems and Rehabilitation Engineering information for authors</title>
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            <title>Access over 1 million articles-the IEEE Digital Library</title>
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            <description>(Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
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            <pubDate>Mon, 01 Feb 2010 00:00:00 +0100</pubDate>
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            <title>Neural-Mechanical Feedback Control Scheme Generates Physiological Ankle Torque Fluctuation During Quiet Stance</title>
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            <description>We have recently demonstrated in simulations and experiments that a proportional and derivative (PD) feedback controller can regulate the active ankle torque during quiet stance and stabilize the body despite a long sensory-motor time delay. The purpose of the present study was to: 1) model the active and passive ankle torque mechanisms and identify their contributions to the total ankle torque during standing and 2) investigate whether a neural-mechanical control scheme that implements the PD controller as the neural controller can successfully generate the total ankle torque as observed in healthy individuals during quiet stance. Fourteen young subjects were asked to stand still on a force platform to acquire data for model optimization and validation. During two trials of 30 s each, the...</description>
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            <title>Measuring Changes of Movement Dynamics During Robot-Aided Neurorehabilitation of Stroke Patients</title>
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            <description>The aim of this study was to describe in detail a new method, called normalized force control parameter (nFCP), to measure changes in movement dynamics obtained during robot-aided neurorehabilitation, and to evaluate its ability to estimate the clinical scales. The study was conducted in a group of 18 subjects after chronic stroke who underwent robot therapy of the upper limb. We used two different measures of movement dynamics to assess patients' performance during each session of training: the nFCP and force directional error (FDE), both measuring the directional error of the patient-exerted force applied to the end-effector of the robot device. Both metrics exhibited significant changes over the three-week course of treatment. The comparison between nFCP and FDE slopes showed a signific...</description>
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            <title>Bidirectional Telemetry Controller for Neuroprosthetic Devices</title>
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            <description>We present versatile multifunctional programmable controller with bidirectional data telemetry, implemented using existing commercial microchips and standard Bluetooth protocol, which adds convenience, reliability, and ease-of-use to neuroprosthetic devices. Controller, weighing 190 g, is placed on animal's back and provides bidirectional sustained telemetry rate of 500 kb/s , allowing real-time control of stimulation parameters and viewing of acquired data. In continuously-active state, controller consumes $sim$420 mW and operates without recharge for 8 h . It features independent 16-channel current-controlled stimulation, allowing current steering; customizable stimulus current waveforms; recording of stimulus voltage waveforms and evoked neuronal responses with stimulus artifact blankin...</description>
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            <title>Investigation of Rotational Skin Stretch for Proprioceptive Feedback With Application to Myoelectric Systems</title>
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            <description>We present a new wearable haptic device that provides a sense of position and motion by inducing rotational skin stretch on the user's skin. In the experiments described in this paper, the device was used to provide proprioceptive feedback from a virtual prosthetic arm controlled with myoelectric sensors on the bicep and tricep muscles in 15 able-bodied participants. Targeting errors in blind movements with the haptic device were compared to cases where no feedback and contralateral proprioception were provided. Average errors were lower with the device than with no feedback but larger than with contralateral proprioceptive feedback. Participants also had lower visual demand with the device than with no feedback while tracking a 30 $^circ$ moving range. The results indicate that the rotati...</description>
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            <title>Multiple Binary Classifications via Linear Discriminant Analysis for Improved Controllability of a Powered Prosthesis</title>
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            <description>This paper describes a novel pattern recognition based myoelectric control system that uses parallel binary classification and class specific thresholds. The system was designed with an intuitive configuration interface, similar to existing conventional myoelectric control systems. The system was assessed quantitatively with a classification error metric and functionally with a clothespin test implemented in a virtual environment. For each case, the proposed system was compared to a state-of-the-art pattern recognition system based on linear discriminant analysis and a conventional myoelectric control scheme with mode switching. These assessments showed that the proposed control system had a higher classification error $({ p}&amp;#x0003C;0.001)$ but yielded a more controllable myoelectric cont...</description>
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            <pubDate>Mon, 01 Feb 2010 00:00:00 +0100</pubDate>
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            <title>Path Control: A Method for Patient-Cooperative Robot-Aided Gait Rehabilitation</title>
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            <description>Gait rehabilitation robots are of increasing importance in neurorehabilitation. Conventional devices are often criticized because they are limited to reproducing predefined movement patterns. Research on patient-cooperative control strategies aims at improving robotic behavior. Robots should support patients only as much as needed and stimulate them to produce maximal voluntary efforts. This paper presents a patient-cooperative strategy that allows patients to influence the timing of their leg movements along a physiologically meaningful path. In this &amp;#x201C;path control&amp;#x201D; strategy, compliant virtual walls keep the patient's legs within a &amp;#x201C;tunnel&amp;#x201D; around the desired spatial path. Additional supportive torques enable patients to move along the path with reduced effort. ...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
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            <pubDate>Mon, 01 Feb 2010 00:00:00 +0100</pubDate>
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            <title>The Effects of a Dynamic Tuberal Support on Ischial Buttock Load and Pattern of Blood Supply</title>
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            <description>This study investigated the redistribution of external buttock load in relation to the pattern (i.e., dynamics) of subtuberal blood supply in sitting with a dynamic tuberal support of 1/60 Hz (80 mm/min). Fifteen healthy male subjects were seated with their ITs on the TSE. The experiment involved periodic TSE adjustment in which buttock interface pressure was measured with the FSP and an external pressure mapping device (PMD). Light-guide tissue spectrophotometry was used for simultaneous noninvasive measurement of oxygenation and perfusion in the skin ($&amp;#x0003C;$ 2 mm) and subcutaneous ($&amp;#x0003C;$ 8 mm) tissue under the ITs. TSE adjustment seemed effective to regulate centre of buttock pressure and the forces under the ITs. Differences in measurement with the FSP and PMD have been found...</description>
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            <pubDate>Mon, 01 Feb 2010 00:00:00 +0100</pubDate>
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            <title>The Utility Metric: A Novel Method to Assess the Overall Performance of Discrete Brain&amp;#x2013;Computer Interfaces</title>
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            <description>A relevant issue in a brain&amp;#x2013;computer interface (BCI) is the capability to efficiently convert user intentions into correct actions, and how to properly measure this efficiency. Usually, the evaluation of a BCI system is approached through the quantification of the classifier performance, which is often measured by means of the information transfer rate (ITR). A shortcoming of this approach is that the control interface design is neglected, and hence a poor description of the overall performance is obtained for real systems. To overcome this limitation, we propose a novel metric based on the computation of BCI Utility. The new metric can accurately predict the overall performance of a BCI system, as it takes into account both the classifier and the control interface characteristics. ...</description>
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            <title>Alteration of Cortical Functional Connectivity as a Result of Traumatic Brain Injury Revealed by Graph Theory, ICA, and sLORETA Analyses of EEG Signals</title>
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            <description>In this paper, a novel approach to examine the cortical functional connectivity using multichannel electroencephalographic (EEG) signals is proposed. First we utilized independent component analysis (ICA) to transform multichannel EEG recordings into independent processes and then applied source reconstruction algorithm [i.e., standardize low resolution brain electromagnetic (sLORETA)] to identify the cortical regions of interest (ROIs). Second, we performed a graph theory analysis of the bipartite network composite of ROIs and independent processes to assess the connectivity between ROIs. We applied this proposed algorithm and compared the functional connectivity network properties under resting state condition using 29 student-athletes prior to and shortly after sport-related mild trauma...</description>
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            <title>Electric Field Stimulation of Bipolar Cells in a Degenerated Retina&amp;#x2014;A Theoretical Study</title>
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            <description>Subretinal implants are the subject of clinical investigation for their ability to evoke useful visual sensations in blind individuals via electrical stimulation of the diseased retina. We investigated the spatial characteristic of the retinal polarization obtained by electric field stimulation through a subretinally located monopolar electrode array and bipolar electrode array. By combining electric potential simulation through a boundary element method with a segmented cell model, we computed the membrane voltage at the axon terminal of the bipolar cells as a function of the axon length (50&amp;#x2013;110 $mu {rm m}$) and the electrode diameter. We found that short OFF bipolar cells are predominantly addressed by small bipolar electrodes (diameter between 60 and 100 $ mu{rm m}$) and by using...</description>
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            <title>IEEE Transactions on Neural Systems and Rehabilitation Engineering publication information</title>
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            <title>Front cover</title>
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            <description>(Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
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            <title>2009 Index IEEE Transactions on Neural Systems and Rehabilitation Engineering Vol. 17</title>
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            <pubDate>Tue, 01 Dec 2009 00:00:00 +0100</pubDate>
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            <title>Table of contents</title>
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            <description>(Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
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            <pubDate>Tue, 01 Dec 2009 00:00:00 +0100</pubDate>
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            <title>IEEE Transactions on Neural Systems and Rehabilitation Engineering information for authors</title>
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            <title>Why we joined</title>
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            <pubDate>Tue, 01 Dec 2009 00:00:00 +0100</pubDate>
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            <title>32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'10)</title>
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            <pubDate>Tue, 01 Dec 2009 00:00:00 +0100</pubDate>
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            <title>Erratum to &amp;ldquo;Kinetic Trajectory Decoding Using Motor Cortical Ensembles&amp;rdquo;</title>
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            <pubDate>Tue, 01 Dec 2009 00:00:00 +0100</pubDate>
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            <title>Erratum to &amp;ldquo;Influence of the Number and Location of Recording Contacts on the Selectivity of a Nerve Cuff Electrode&amp;rdquo;</title>
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            <description>In the above titled paper (ibid., vol. 17, no. 5, pp. 420-427, Oct. 09), Fig. 5 should have appeared as it is presented here. (Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
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            <pubDate>Tue, 01 Dec 2009 00:00:00 +0100</pubDate>
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            <title>Correction to Why is the Metabolic Efficiency of FES Cycling Low?</title>
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            <description>In the above titled paper (ibid., vol. 17, no. 3, pp. 263-269, Jun. 09), the last paragraph of Section IV should appear as it is presented here. (Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
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            <pubDate>Tue, 01 Dec 2009 00:00:00 +0100</pubDate>
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            <title>An Assessment of Robot-Assisted Bimanual Movements on Upper Limb Motor Coordination Following Stroke</title>
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            <description>Robot-assisted training is increasingly being investigated in upper limb rehabilitation for individuals with stroke. Many studies have suggested that an appropriate synchronization of voluntary motor commands and limb movement is critical for long-term efficacy. Bimanual training is one method for enhancing this synchronization or motor coordination. The purpose of the study was to evaluate the potential efficacy of bimanual robot-assisted movements by comparing the relative timing of muscle activation and forces to those generated during unimanual robot-assisted movement. A secondary goal was to compare bimanual robot-assisted movement to bimanual voluntary movement, where both limbs moved independently without robotics. Subjects performed reaching tasks while attached to one or two robot...</description>
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            <pubDate>Tue, 01 Dec 2009 00:00:00 +0100</pubDate>
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        <item>
            <title>A Combined sEMG and Accelerometer System for Monitoring Functional Activity in Stroke</title>
            <link>http://www.medworm.com/index.php?rid=3153154&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5349072%26arnumber%3D5349073</link>
            <description>This study investigated the classification accuracy of a combined surface electromyographic (sEMG) and accelerometer (ACC) sensor system for monitoring activities of daily living in patients with stroke. sEMG and ACC data (eight channels each) were recorded from 10 hemiparetic patients while they carried out a sequence of 11 activities of daily living (identification tasks), and 10 activities used to evaluate misclassification errors (nonidentification tasks). The sEMG and ACC sensor data were analyzed using a multilayered neural network and an adaptive neuro-fuzzy inference system to identify the minimal sensor configuration needed to accurately classify the identification tasks, with a minimal number of misclassifications from the nonidentification tasks. The results demonstrated that th...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3153154</comments>
            <pubDate>Tue, 01 Dec 2009 00:00:00 +0100</pubDate>
            <guid isPermaLink="false">3153154</guid>        </item>
        <item>
            <title>Nonlinear Neuromuscular Electrical Stimulation Tracking Control of a Human Limb</title>
            <link>http://www.medworm.com/index.php?rid=3153153&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5349072%26arnumber%3D5061582</link>
            <description>A high-level objective of neuromuscular electrical stimulation (NMES) is to enable a person to achieve some functional task. Towards this goal, the objective of the current effort is to develop a NMES controller to produce a knee position trajectory that will enable a human shank to track any continuous desired trajectory (or constant setpoint). A nonlinear control method is developed to control the human quadriceps femoris muscle undergoing nonisometric contractions. The developed controller does not require a muscle model and can be proven to yield asymptotic stability for a nonlinear muscle model in the presence of bounded nonlinear disturbances (e.g., spasticity, delays, fatigue). The performance of the controller is demonstrated through a series of closed-loop experiments on human sub...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3153153</comments>
            <pubDate>Tue, 01 Dec 2009 00:00:00 +0100</pubDate>
            <guid isPermaLink="false">3153153</guid>        </item>
        <item>
            <title>Application of Modified Regression Techniques to a Quantitative Assessment for the Motor Signs of Parkinson's Disease</title>
            <link>http://www.medworm.com/index.php?rid=3153152&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5349072%26arnumber%3D5299280</link>
            <description>Effective clinical trials for neuroprotective interventions for Parkinson's disease (PD) require a way to quantify an individual's motor symptoms and analyze the change in these symptoms over time. Clinical scales provide a global picture of function but cannot precisely measure specific aspects of motor control. We have used commercially available sensors to create a protocol called Advanced Sensing for Assessment of Parkinson's disease (ASAP) to obtain a quantitative and reliable measure of motor impairment in early to moderate PD. The ASAP protocol measures grip force as an individual tracks a sinusoidal or pseudorandom target force under three conditions of increasing cognitive load. Thirty individuals with PD have completed the ASAP protocol. The ASAP data for 26 of these individuals ...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3153152</comments>
            <pubDate>Tue, 01 Dec 2009 00:00:00 +0100</pubDate>
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        <item>
            <title>Humans Can Integrate Force Feedback to Toes in Their Sensorimotor Control of a Robotic Hand</title>
            <link>http://www.medworm.com/index.php?rid=3153151&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5349072%26arnumber%3D4956985</link>
            <description>Tactile sensory feedback is essential for dexterous object manipulation. Users of hand myoelectric prostheses without tactile feedback must depend essentially on vision to control their device. Indeed, improved tactile feedback is one of their main priorities. Previous research has provided evidence that conveying tactile feedback can improve prostheses control, although additional effort is required to solve problems related to pattern recognition learning, unpleasant sensations, sensory adaptation, and low spatiotemporal resolution. Still, these studies have mainly focused on providing stimulation to hairy skin regions close to the amputation site, i.e., usually to the upper arm. Here, we explored the possibility to provide tactile feedback to the glabrous skin of toes, which have mechan...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3153151</comments>
            <pubDate>Tue, 01 Dec 2009 00:00:00 +0100</pubDate>
            <guid isPermaLink="false">3153151</guid>        </item>
        <item>
            <title>Estimation of 2-D Center of Mass Movement During Trunk Flexion&amp;#x2013;Extension Movements Using Body Accelerations</title>
            <link>http://www.medworm.com/index.php?rid=3153150&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5349072%26arnumber%3D5256298</link>
            <description>Motions of the center of body mass (COM) and body segment acceleration signals are commonly used to indicate movement performance and stability during standing activities. The COM trajectory is usually calculated by video motion analysis, which has a time consuming setup and also is not readily available in all clinical settings. In this paper, we present a novel method to estimate the COM trajectory from the upper and lower limb accelerations, based on experimental data. We have modeled the relationships that exist between the 2-D hip and trunk acceleration data with the 2-D COM trajectory in the sagittal plane, during four trunk flexion&amp;#x2013;extension movement tasks and estimated the COM trajectory based on that model. The model accounted for between 93 $pm$ 9% to 97 $pm$ 3% of the res...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3153150</comments>
            <pubDate>Tue, 01 Dec 2009 00:00:00 +0100</pubDate>
            <guid isPermaLink="false">3153150</guid>        </item>
        <item>
            <title>Selective and Graded Recruitment of Cat Hamstring Muscles With Intrafascicular Stimulation</title>
            <link>http://www.medworm.com/index.php?rid=3153149&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5349072%26arnumber%3D5208177</link>
            <description>The muscles of the hamstring group can produce different combinations of hip and knee torque. Thus, the ability to activate the different hamstring muscles selectively is of particular importance in eliciting functional movements such as stance and gait in a person with spinal cord injury. We investigated the ability of intrafascicular stimulation of the muscular branch of the sciatic nerve to recruit the feline hamstring muscles in a selective and graded fashion. A Utah Slanted Electrode Array, consisting of 100 penetrating microelectrodes, was implanted into the muscular branch of the sciatic nerve in six cats. Muscle twitches were evoked in the three compartments of biceps femoris (anterior, middle, and posterior), as well as semitendinosus and semimembranosus, using pulse-width modulat...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3153149</comments>
            <pubDate>Tue, 01 Dec 2009 00:00:00 +0100</pubDate>
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        <item>
            <title>Unmyelinated Aplysia Nerves Exhibit a Nonmonotonic Blocking Response to High-Frequency Stimulation</title>
            <link>http://www.medworm.com/index.php?rid=3153148&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5349072%26arnumber%3D5196803</link>
            <description>The application of high-frequency alternating current (HFAC) stimulation to reversibly block conduction in peripheral nerves has been under investigation for decades. Computational studies have produced ambiguous results since they have been based on axon models that are perhaps not valid for the nerves in which the phenomenon has been demonstrated. Though simulations based on the Hodgkin&amp;#x2013;Huxley unmyelinated nerve cable model have been used to understand the phenomena, the isolated response of an unmyelinated nerve to HFAC waveforms has not been experimentally investigated. To understand the effect of HFAC waveforms in homogenous nerves, experiments were conducted on purely unmyelinated nerves of the sea-slug Aplysia californica. Sinusoidal waveforms in the range of 5&amp;#x2013;50 kHz ...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3153148</comments>
            <pubDate>Tue, 01 Dec 2009 00:00:00 +0100</pubDate>
            <guid isPermaLink="false">3153148</guid>        </item>
        <item>
            <title>Phase Stability Analysis of Chirp Evoked Auditory Brainstem Responses by Gabor Frame Operators</title>
            <link>http://www.medworm.com/index.php?rid=3153147&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5349072%26arnumber%3D5256259</link>
            <description>We have recently shown that click evoked auditory brainstem responses (ABRs) can be efficiently processed using a novelty detection paradigm. Here, ABRs as a large-scale reflection of a stimulus locked neuronal group synchronization at the brainstem level are detected as novel instance&amp;#x2014;novel as compared to the spontaneous activity which does not exhibit a regular stimulus locked synchronization. In this paper we propose for the first time Gabor frame operators as an efficient feature extraction technique for ABR single sweep sequences that is in line with this paradigm. In particular, we use this decomposition technique to derive the Gabor frame phase stability (GFPS) of sweep sequences of click and chirp evoked ABRs. We show that the GFPS of chirp evoked ABRs provides a stable disc...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3153147</comments>
            <pubDate>Tue, 01 Dec 2009 00:00:00 +0100</pubDate>
            <guid isPermaLink="false">3153147</guid>        </item>
        <item>
            <title>An Empirical Bayesian Framework for Brain&amp;#x2013;Computer Interfaces</title>
            <link>http://www.medworm.com/index.php?rid=3153146&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5349072%26arnumber%3D5166506</link>
            <description>Current brain&amp;#x2013;computer interface (BCI) systems suffer from high complex feature selectors in comparison to simple classifiers. Meanwhile, neurophysiological and experimental information are hard to be included in these two separate phases. In this paper, based on the hierarchical observation model, we proposed an empirical Bayesian linear discriminant analysis (BLDA), in which the neurophysiological and experimental priors are considered simultaneously; the feature selection, weighted differently, and classification are performed jointly, thus it provides a novel systematic algorithm framework which can utilize priors related to feature and trial in the classifier design in a BCI. BLDA was comparatively evaluated by two simulations of a two-class and a four-class problem, and then i...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3153146</comments>
            <pubDate>Tue, 01 Dec 2009 00:00:00 +0100</pubDate>
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        <item>
            <title>IEEE Transactions on Neural Systems and Rehabilitation Engineering publication information</title>
            <link>http://www.medworm.com/index.php?rid=3153145&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5349072%26arnumber%3D5373720</link>
            <description>(Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3153145</comments>
            <pubDate>Tue, 01 Dec 2009 00:00:00 +0100</pubDate>
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        <item>
            <title>Front cover</title>
            <link>http://www.medworm.com/index.php?rid=3153144&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5349072%26arnumber%3D5373719</link>
            <description>(Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3153144</comments>
            <pubDate>Tue, 01 Dec 2009 00:00:00 +0100</pubDate>
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        <item>
            <title>Table of contents</title>
            <link>http://www.medworm.com/index.php?rid=2967032&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5308700%26arnumber%3D5308703</link>
            <description>(Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2967032</comments>
            <pubDate>Thu, 01 Oct 2009 00:00:00 +0100</pubDate>
            <guid isPermaLink="false">2967032</guid>        </item>
        <item>
            <title>IEEE Transactions on Neural Systems and Rehabilitation Engineering information for authors</title>
            <link>http://www.medworm.com/index.php?rid=2967031&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5308700%26arnumber%3D5308705</link>
            <description>(Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2967031</comments>
            <pubDate>Thu, 01 Oct 2009 00:00:00 +0100</pubDate>
            <guid isPermaLink="false">2967031</guid>        </item>
        <item>
            <title>Incorporating Haptic Effects Into Three-Dimensional Virtual Environments to Train the Hemiparetic Upper Extremity</title>
            <link>http://www.medworm.com/index.php?rid=2967030&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5308700%26arnumber%3D5196799</link>
            <description>Current neuroscience has identified several constructs to increase the effectiveness of upper extremity rehabilitation. One is the use of progressive, skill acquisition-oriented training. Another approach emphasizes the use of bilateral activities. Building on these principles, this paper describes the design and feasibility testing of a robotic/virtual environment system designed to train the arm of persons who have had strokes. The system provides a variety of assistance modes, scalable workspaces and hand&amp;#x2013;robot interfaces allowing persons with strokes to train multiple joints in three dimensions. The simulations utilize assistance algorithms that adjust task difficulty both online and offline in relation to subject performance. Several distinctive haptic effects have been incorpo...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2967030</comments>
            <pubDate>Thu, 01 Oct 2009 00:00:00 +0100</pubDate>
            <guid isPermaLink="false">2967030</guid>        </item>
        <item>
            <title>Automated Stimulus-Response Mapping of High-Electrode-Count Neural Implants</title>
            <link>http://www.medworm.com/index.php?rid=2967029&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5308700%26arnumber%3D5196809</link>
            <description>Over the past decade, research in the field of functional electrical stimulation (FES) has led to a new generation of high-electrode-count (HEC) devices that offer increasingly selective access to neural populations. Incorporation of these devices into research and clinical applications, however, has been hampered by the lack of hardware and software platforms capable of taking full advantage of them. In this paper, we present the first generation of a closed-loop FES platform built specifically for HEC neural interface devices. The platform was designed to support a wide range of stimulus-response mapping and feedback-based control routines. It includes a central control module, a 1100-channel stimulator, an array of biometric devices, and a 160-channel data recording module. To demonstra...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2967029</comments>
            <pubDate>Thu, 01 Oct 2009 00:00:00 +0100</pubDate>
            <guid isPermaLink="false">2967029</guid>        </item>
        <item>
            <title>Angular-Velocity Control Approach for Stance-Control Orthoses</title>
            <link>http://www.medworm.com/index.php?rid=2967028&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5308700%26arnumber%3D5061590</link>
            <description>Currently, stance-control knee orthoses require external control mechanisms to control knee flexion during stance and allow free knee motion during the swing phase of gait. A new angular-velocity control approach that uses a rotary-hydraulic device to resist knee flexion when the knee angular velocity passes a preset threshold is presented. This angular-velocity approach for orthotic stance control is based on the premise that knee-flexion angular velocity during a knee-collapse event, such as a stumble or fall, is greater than that during walking. The new hydraulic knee-flexion control device does not require an external control mechanism to switch from free motion to stance control mode. Functional test results demonstrated that the hydraulic angular-velocity activated knee joint provide...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2967028</comments>
            <pubDate>Thu, 01 Oct 2009 00:00:00 +0100</pubDate>
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        <item>
            <title>Kinetic Trajectory Decoding Using Motor Cortical Ensembles</title>
            <link>http://www.medworm.com/index.php?rid=2967027&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5308700%26arnumber%3D5196801</link>
            <description>Although most brain&amp;#x2013;machine interface (BMI) studies have focused on decoding kinematic parameters of motion such as hand position and velocity, it is known that motor cortical activity also correlates with kinetic signals, including active hand force and joint torque. Here, we attempted to reconstruct torque trajectories of the shoulder and elbow joints from the activity of simultaneously recorded units in primary motor cortex (MI) as monkeys (Macaca Mulatta) made reaching movements in the horizontal plane. Using a linear filter decoding approach that considers the history of neuronal activity up to one second in the past, we found torque reconstruction performance nearly equal to that of Cartesian hand position and velocity, despite the considerably greater bandwidth of the torque ...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2967027</comments>
            <pubDate>Thu, 01 Oct 2009 00:00:00 +0100</pubDate>
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        <item>
            <title>Thresholds for Transverse Stimulation: Fiber Bundles in a Uniform Field</title>
            <link>http://www.medworm.com/index.php?rid=2967026&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5308700%26arnumber%3D5308701</link>
            <description>Cable theory is used to model fibers (neural or muscular) subjected to an extracellular stimulus or activating function along the fiber (longitudinal stimulation). There are cases however, in which activation from fields across a fiber (transverse stimulation) is dominant and the activating function is insufficient to predict the relative stimulus thresholds for cells in a bundle. This work proposes a general method of quantifying transverse extracellular stimulation using ideal cases of long fibers oriented perpendicular to a uniform field (circular cells in a 2-D extracellular domain). Several methods are compared against a fully coupled model to compute electrical potentials around each cell of a bundle and predict the magnitude of applied plate potential $({mitPhi}_{p})$ needed to acti...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2967026</comments>
            <pubDate>Thu, 01 Oct 2009 00:00:00 +0100</pubDate>
            <guid isPermaLink="false">2967026</guid>        </item>
        <item>
            <title>Effect of Bipolar Cuff Electrode Design on Block Thresholds in High-Frequency Electrical Neural Conduction Block</title>
            <link>http://www.medworm.com/index.php?rid=2967025&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5308700%26arnumber%3D5288619</link>
            <description>Many medical conditions are characterized by undesired or pathological peripheral neurological activity. The local delivery of high-frequency alternating currents (HFAC) has been shown to be a fast acting and quickly reversible method of blocking neural conduction and may provide a treatment alternative for eliminating pathological neural activity in these conditions. This work represents the first formal study of electrode design for high-frequency nerve block, and demonstrates that the interpolar separation distance for a bipolar electrode influences the current amplitudes required to achieve conduction block in both computer simulations and mammalian whole nerve experiments. The minimal current required to achieve block is also dependent on the diameter of the fibers being blocked and t...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2967025</comments>
            <pubDate>Thu, 01 Oct 2009 00:00:00 +0100</pubDate>
            <guid isPermaLink="false">2967025</guid>        </item>
        <item>
            <title>Localization and Recovery of Peripheral Neural Sources With Beamforming Algorithms</title>
            <link>http://www.medworm.com/index.php?rid=2967024&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5308700%26arnumber%3D5288620</link>
            <description>The peripheral nervous system carries sensory and motor information that could be useful as command signals for function restoration in areas such as neural prosthetics and functional electrical stimulation (FES). Nerve cuff electrodes provide a robust and safe technique for recording nerve signals. However, a method to separate and recover signals from individual fascicles is necessary. Prior knowledge of the electrode geometry was used to develop an algorithm which assumes neither signal independence nor detailed knowledge of the nerve's geometry/conductivity, and is applicable to any wide-band near-field situation. When used to recover fascicular activities from simulated nerve cuff recordings in a realistic human femoral nerve model, this beamforming algorithm separates signals as clos...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2967024</comments>
            <pubDate>Thu, 01 Oct 2009 00:00:00 +0100</pubDate>
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        <item>
            <title>Long Micro-Channel Electrode Arrays: A Novel Type of Regenerative Peripheral Nerve Interface</title>
            <link>http://www.medworm.com/index.php?rid=2967023&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5308700%26arnumber%3D5233787</link>
            <description>We have demonstrated that micro-channel electrode arrays with $100 mu{rm m}times 100 mu{rm m}$ cross-section channels support axon regeneration well, and that micro-channels of similar calibre and up to 5 mm long can support axon regeneration and vascularisation. They may be microfabricated using silicon, silicone, or polyimide and thin metal films to form 3-D bundles of long micro-channels. Arrays of &amp;#x201C;mini-nerves,&amp;#x201D; i.e., miniature nerve fascicles with their own blood vessels, successfully grew through implants 0.5&amp;#x2013;5 mm long. Furthermore, guiding the regenerating nerve fibres into the small insulating channels allows for a significant increase of the extracellular (recordable) amplitude of action potentials, which promises considerable improvement for in vivo electroph...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2967023</comments>
            <pubDate>Thu, 01 Oct 2009 00:00:00 +0100</pubDate>
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        <item>
            <title>Interpretation of Muscle Spindle Afferent Nerve Response to Passive Muscle Stretch Recorded With Thin-Film Longitudinal Intrafascicular Electrodes</title>
            <link>http://www.medworm.com/index.php?rid=2967022&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5308700%26arnumber%3D5256297</link>
            <description>In this study, we explored the feasibility of estimating muscle length in passive conditions by interpreting nerve responses from muscle spindle afferents recorded with thin-film longitudinal intrafascicular electrodes. Afferent muscle spindle response to passive stretch was recorded in ten acute rabbit experiments. A newly proposed first-order model of muscle spindle response to passive sinusoidal muscle stretch manages to capture the relationship between afferent neural firing rate and muscle length. We demonstrate that the model can be used to track random motion trajectories with bandwidth from 0.1 to 1 Hz over a range of 4 mm with a muscle length estimation error of 0.3 mm (1.4$^circ$ of joint angle). When estimation is performed using four-channel ENG there is a 50% reduction in esti...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2967022</comments>
            <pubDate>Thu, 01 Oct 2009 00:00:00 +0100</pubDate>
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        <item>
            <title>Examination of Force Discrimination in Human Upper Limb Amputees With Reinnervated Limb Sensation Following Peripheral Nerve Transfer</title>
            <link>http://www.medworm.com/index.php?rid=2967021&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5308700%26arnumber%3D5256278</link>
            <description>This study quantified the ability of three amputee subjects who had undergone TR surgery on the chest (two subjects) and upper arm (one subject) to discriminate changes in graded force on their reinnervated skin over a range of 1&amp;#x2013;4 N using a stochastic staircase approach. These values were compared to those from sites on their intact contralateral skin and index fingers, and from the chests and index fingers of a control population $(n=10)$ . Weber's ratio (WR) was used to examine the subjects' abilities to discriminate between a baseline force and subsequent forces of different magnitudes. WRs of 0.22, 0.25, and 0.12 were measured on the reinnervated skin of the three TR subjects, whereas WRs of 0.25, 0.23, and 0.12 were measured on their contralateral skin. TR subjects did not hav...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2967021</comments>
            <pubDate>Thu, 01 Oct 2009 00:00:00 +0100</pubDate>
            <guid isPermaLink="false">2967021</guid>        </item>
        <item>
            <title>Stimulation Stability and Selectivity of Chronically Implanted Multicontact Nerve Cuff Electrodes in the Human Upper Extremity</title>
            <link>http://www.medworm.com/index.php?rid=2967020&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5308700%26arnumber%3D5256276</link>
            <description>The objective of this study was to look at the long term nerve and muscle response to stimulation through nerve cuff electrodes. The nerve conduction velocity remained within the clinically accepted range for the entire testing period. The stimulation thresholds stabilized after approximately 20 weeks. The variability in the activation over time was not different from muscle-based electrodes used in implanted functional electrical stimulation systems. Three electrodes had multiple, independent contacts to evaluate selective recruitment of muscles. A single muscle could be selectively activated from each electrode using single-contact stimulation and the selectivity was increased with the use of field steering techniques. The selectivity after three years was consistent with selectivity mea...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2967020</comments>
            <pubDate>Thu, 01 Oct 2009 00:00:00 +0100</pubDate>
            <guid isPermaLink="false">2967020</guid>        </item>
        <item>
            <title>Influence of the Number and Location of Recording Contacts on the Selectivity of a Nerve Cuff Electrode</title>
            <link>http://www.medworm.com/index.php?rid=2967019&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5308700%26arnumber%3D5061587</link>
            <description>A 56-contact matrix nerve cuff electrode (seven rings with eight contacts each) was used to obtain recordings from the rat sciatic nerve, which were then discriminated as originating from one of three fascicles (tibial, peroneal, and sural branches). The influence of the number and location of the recording contacts on the classification accuracy was studied. The performance of a classifier was shown to be superior when data was available from all 56 contacts, compared to when only the eight contacts of the middle ring were used (as in previously proposed multicontact tripolar cuff designs). By examining the performance variations as contacts were included one at a time (in order of decreasing positive impact on performance), it was further shown that the matrix configuration could outperf...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2967019</comments>
            <pubDate>Thu, 01 Oct 2009 00:00:00 +0100</pubDate>
            <guid isPermaLink="false">2967019</guid>        </item>
        <item>
            <title>Guest Editorial Interfacing With the Peripheral Nervous System to Develop Innovative Neuroprostheses</title>
            <link>http://www.medworm.com/index.php?rid=2967018&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5308700%26arnumber%3D5308702</link>
            <description>(Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2967018</comments>
            <pubDate>Thu, 01 Oct 2009 00:00:00 +0100</pubDate>
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        <item>
            <title>IEEE Transactions on Neural Systems and Rehabilitation Engineering publication information</title>
            <link>http://www.medworm.com/index.php?rid=2967017&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5308700%26arnumber%3D5308704</link>
            <description>(Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2967017</comments>
            <pubDate>Thu, 01 Oct 2009 00:00:00 +0100</pubDate>
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        <item>
            <title>Front cover</title>
            <link>http://www.medworm.com/index.php?rid=2967016&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5308700%26arnumber%3D5308706</link>
            <description>(Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2967016</comments>
            <pubDate>Thu, 01 Oct 2009 00:00:00 +0100</pubDate>
            <guid isPermaLink="false">2967016</guid>        </item>
        <item>
            <title>Table of contents</title>
            <link>http://www.medworm.com/index.php?rid=2691335&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5200715%26arnumber%3D5200720</link>
            <description>(Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2691335</comments>
            <pubDate>Fri, 31 Jul 2009 23:00:00 +0100</pubDate>
            <guid isPermaLink="false">2691335</guid>        </item>
        <item>
            <title>IEEE Transactions on Neural Systems and Rehabilitation Engineering information for authors</title>
            <link>http://www.medworm.com/index.php?rid=2691334&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5200715%26arnumber%3D5200719</link>
            <description>(Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2691334</comments>
            <pubDate>Fri, 31 Jul 2009 23:00:00 +0100</pubDate>
            <guid isPermaLink="false">2691334</guid>        </item>
        <item>
            <title>Leading the field since 1884</title>
            <link>http://www.medworm.com/index.php?rid=2691333&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5200715%26arnumber%3D5200716</link>
            <description>(Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2691333</comments>
            <pubDate>Fri, 31 Jul 2009 23:00:00 +0100</pubDate>
            <guid isPermaLink="false">2691333</guid>        </item>
        <item>
            <title>Sensor Evaluation for Wearable Strain Gauges in Neurological Rehabilitation</title>
            <link>http://www.medworm.com/index.php?rid=2691332&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5200715%26arnumber%3D4813270</link>
            <description>Conductive elastomers are a novel strain sensing technology which can be unobtrusively embedded into a garment's fabric, allowing a new type of sensorized cloths for motion analysis. A possible application for this technology is remote monitoring and control of motor rehabilitation exercises. The present work describes a sensorized shirt for upper limb posture recognition. Supervised learning techniques have been employed to compare classification models for the analysis of strains, simultaneously measured at multiple points of the shirt. The instantaneous position of the limb was classified into a finite set of predefined postures, and the movement was decomposed in an ordered sequence of discrete states. The amount of information given by the observation of each sensor during the executi...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2691332</comments>
            <pubDate>Fri, 31 Jul 2009 23:00:00 +0100</pubDate>
            <guid isPermaLink="false">2691332</guid>        </item>
        <item>
            <title>Influence of Feedback Parameters on Performance of a Vibrotactile Balance Prosthesis</title>
            <link>http://www.medworm.com/index.php?rid=2691331&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5200715%26arnumber%3D5061591</link>
            <description>We investigated the influence of feedback conditions on the effectiveness of a balance prosthesis. The balance prosthesis used an array of 12 tactile vibrators (tactors) placed on the anterior and posterior surfaces of the torso to provide body orientation feedback related to several different combinations of angular position and velocity of body sway in the sagittal plane. Control tests were performed with no tactor activation. Body sway was evoked in subjects with normal sensory function by rotating the support surface upon which subjects stood with eyes closed. Body sway was analyzed by computing root mean square sway measures and by a frequency-response function analysis that characterized the amplitude (gain) and timing (phase) of body sway over a frequency range of 0.017&amp;#x2013;2.2 H...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2691331</comments>
            <pubDate>Fri, 31 Jul 2009 23:00:00 +0100</pubDate>
            <guid isPermaLink="false">2691331</guid>        </item>
        <item>
            <title>Evaluation of a Prosthetic Swing-Phase Controller With Electrical Power Generation</title>
            <link>http://www.medworm.com/index.php?rid=2691330&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5200715%26arnumber%3D5061579</link>
            <description>With the increased presence of microprocessor-based prostheses in the market place, the availability of a self-energizing system has practical applicability. At present, most commercially available systems require the user to routinely recharge on-board batteries, which reduces the utility of these prostheses. To address this limitation, we have proposed a unique system based on an electromechanical generator to not only continually recharge batteries that are on-board the prostheses, but to also serve as a real time swing-phase damper. A prototype system was developed and evaluated with three active individuals with above-knee amputations across four damping conditions and two gait speeds. Gait and power generation performance were assessed via selected temporal, kinematic and kinetic par...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2691330</comments>
            <pubDate>Fri, 31 Jul 2009 23:00:00 +0100</pubDate>
            <guid isPermaLink="false">2691330</guid>        </item>
        <item>
            <title>Hindlimb Endpoint Forces Predict Movement Direction Evoked by Intraspinal Microstimulation in Cats</title>
            <link>http://www.medworm.com/index.php?rid=2691329&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5200715%26arnumber%3D5061583</link>
            <description>We measured the forces produced at the cat's hindpaw by microstimulation of the lumbar spinal cord and the movements resulting from those forces. We also measured the forces and movements produced by co- and sequential activation of two intraspinal sites. Isometric force responses were measured at nine limb configurations with the paw attached to a force transducer. The active forces elicited at different limb configurations were summarized as patterns representing the sagittal plane component of the forces produced at the paw throughout the workspace. The force patterns divided into the same distinct types found with the femur fixed. The responses during simultaneous activation of two spinal sites always resembled the response for activation of one of the two sites, i.e., winner-take-all,...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2691329</comments>
            <pubDate>Fri, 31 Jul 2009 23:00:00 +0100</pubDate>
            <guid isPermaLink="false">2691329</guid>        </item>
        <item>
            <title>Neural Decoding of Hand Motion Using a Linear State-Space Model With Hidden States</title>
            <link>http://www.medworm.com/index.php?rid=2691328&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5200715%26arnumber%3D5061589</link>
            <description>The Kalman filter has been proposed as a model to decode neural activity measured from the motor cortex in order to obtain real-time estimates of hand motion in behavioral neurophysiological experiments. However, currently used linear state-space models underlying the Kalman filter do not take into account other behavioral states such as muscular activity or the subject's level of attention, which are often unobservable during experiments but may play important roles in characterizing neural controlled hand movement. To address this issue, we depict these unknown states as one multidimensional hidden state in the linear state-space framework. This new model assumes that the observed neural firing rate is directly related to this hidden state. The dynamics of the hand state are also allowed...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2691328</comments>
            <pubDate>Fri, 31 Jul 2009 23:00:00 +0100</pubDate>
            <guid isPermaLink="false">2691328</guid>        </item>
        <item>
            <title>Statistical Long-Term Correlations in Dissociated Cortical Neuron Recordings</title>
            <link>http://www.medworm.com/index.php?rid=2691327&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5200715%26arnumber%3D4982702</link>
            <description>In this study we propose a new method for long-term correlation analysis of neuronal burst activity based on the periodogram $alpha$ slope estimation of the MEA signal. We applied our method to recordings taken from cultured networks of dissociated rat cortical neurons. We show the effectiveness of the method in analyzing the activity changes as well as the temporal dynamics that take place during the development of such cultures. Results demonstrate that the $alpha$ parameter is able to divide the network development in three well-defined stages, showing pronounced variations in the long-term correlation among bursts. (Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2691327</comments>
            <pubDate>Fri, 31 Jul 2009 23:00:00 +0100</pubDate>
            <guid isPermaLink="false">2691327</guid>        </item>
        <item>
            <title>Using Pulse Width Modulation for Wireless Transmission of Neural Signals in Multichannel Neural Recording Systems</title>
            <link>http://www.medworm.com/index.php?rid=2691326&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5200715%26arnumber%3D5061588</link>
            <description>We have used a well-known technique in wireless communication, pulse width modulation (PWM) of time division multiplexed (TDM) signals, within the architecture of a novel wireless integrated neural recording (WINeR) system. We have evaluated the performance of the PWM-based architecture and indicated its accuracy and potential sources of error through detailed theoretical analysis, simulations, and measurements on a setup consisting of a 15-channel WINeR prototype as the transmitter and two types of receivers; an Agilent 89600 vector signal analyzer and a custom wideband receiver, with 36 and 75 MHz of maximum bandwidth, respectively. Furthermore, we present simulation results from a realistic MATLAB-Simulink model of the entire WINeR system to observe the system behavior in response to ch...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2691326</comments>
            <pubDate>Fri, 31 Jul 2009 23:00:00 +0100</pubDate>
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        <item>
            <title>An Ultra Low-Power CMOS Automatic Action Potential Detector</title>
            <link>http://www.medworm.com/index.php?rid=2691325&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5200715%26arnumber%3D4813269</link>
            <description>We present a low-power complementary metal&amp;#x2013;oxide semiconductor (CMOS) analog integrated biopotential detector intended for neural recording in wireless multichannel implants. The proposed detector can achieve accurate automatic discrimination of action potential (APs) from the background activity by means of an energy-based preprocessor and a linear delay element. This strategy improves detected waveforms integrity and prompts for better performance in neural prostheses. The delay element is implemented with a low-power continuous-time filter using a ninth-order equiripple allpass transfer function. All circuit building blocks use subthreshold OTAs employing dedicated circuit techniques for achieving ultra low-power and high dynamic range. The proposed circuit function in the submic...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2691325</comments>
            <pubDate>Fri, 31 Jul 2009 23:00:00 +0100</pubDate>
            <guid isPermaLink="false">2691325</guid>        </item>
        <item>
            <title>Active Microelectronic Neurosensor Arrays for Implantable Brain Communication Interfaces</title>
            <link>http://www.medworm.com/index.php?rid=2691324&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5200715%26arnumber%3D5067358</link>
            <description>We have built a wireless implantable microelectronic device for transmitting cortical signals transcutaneously. The device is aimed at interfacing a cortical microelectrode array to an external computer for neural control applications. Our implantable microsystem enables 16-channel broadband neural recording in a nonhuman primate brain by converting these signals to a digital stream of infrared light pulses for transmission through the skin. The implantable unit employs a flexible polymer substrate onto which we have integrated ultra-low power amplification with analog multiplexing, an analog-to-digital converter, a low power digital controller chip, and infrared telemetry. The scalable 16-channel microsystem can employ any of several modalities of power supply, including radio frequency b...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2691324</comments>
            <pubDate>Fri, 31 Jul 2009 23:00:00 +0100</pubDate>
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        <item>
            <title>HermesC: Low-Power Wireless Neural Recording System for Freely Moving Primates</title>
            <link>http://www.medworm.com/index.php?rid=2691323&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5200715%26arnumber%3D5061581</link>
            <description>Neural prosthetic systems have the potential to restore lost functionality to amputees or patients suffering from neurological injury or disease. Current systems have primarily been designed for immobile patients, such as tetraplegics functioning in a rather static, carefully tailored environment. However, an active patient such as amputee in a normal dynamic, everyday environment may be quite different in terms of the neural control of movement. In order to study motor control in a more unconstrained natural setting, we seek to develop an animal model of freely moving humans. Therefore, we have developed and tested HermesC-INI3, a system for recording and wirelessly transmitting neural data from electrode arrays implanted in rhesus macaques who are freely moving. This system is based on t...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2691323</comments>
            <pubDate>Fri, 31 Jul 2009 23:00:00 +0100</pubDate>
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        <item>
            <title>Wireless Neural Recording With Single Low-Power Integrated Circuit</title>
            <link>http://www.medworm.com/index.php?rid=2691322&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5200715%26arnumber%3D5061585</link>
            <description>We present benchtop and in vivo experimental results from an integrated circuit designed for wireless implantable neural recording applications. The chip, which was fabricated in a commercially available 0.6- $mu$m 2P3M BiCMOS process, contains 100 amplifiers, a 10-bit analog-to-digital converter (ADC), 100 threshold-based spike detectors, and a 902&amp;#x2013;928 MHz frequency-shift-keying (FSK) transmitter. Neural signals from a selected amplifier are sampled by the ADC at 15.7 kSps and telemetered over the FSK wireless data link. Power, clock, and command signals are sent to the chip wirelessly over a 2.765-MHz inductive (coil-to-coil) link. The chip is capable of operating with only two off-chip components: a power/command receiving coil and a 100-nF capacitor. (Source: IEE Transactions on...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2691322</comments>
            <pubDate>Fri, 31 Jul 2009 23:00:00 +0100</pubDate>
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            <title>A 128-Channel 6 mW Wireless Neural Recording IC With Spike Feature Extraction and UWB Transmitter</title>
            <link>http://www.medworm.com/index.php?rid=2691321&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5200715%26arnumber%3D4912399</link>
            <description>This paper reports a 128-channel neural recording integrated circuit (IC) with on-the-fly spike feature extraction and wireless telemetry. The chip consists of eight 16-channel front-end recording blocks, spike detection and feature extraction digital signal processor (DSP), ultra wideband (UWB) transmitter, and on-chip bias generators. Each recording channel has amplifiers with programmable gain and bandwidth to accommodate different types of biological signals. An analog-to-digital converter (ADC) shared by 16 amplifiers through time-multiplexing results in a balanced trade-off between the power consumption and chip area. A nonlinear energy operator (NEO) based spike detector is implemented for identifying spikes, which are further processed by a digital frequency-shaping filter. The com...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2691321</comments>
            <pubDate>Fri, 31 Jul 2009 23:00:00 +0100</pubDate>
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        <item>
            <title>Guest Editorial Special Section on Wireless Neural Interfaces</title>
            <link>http://www.medworm.com/index.php?rid=2691320&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5200715%26arnumber%3D5200717</link>
            <description>(Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
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            <pubDate>Fri, 31 Jul 2009 23:00:00 +0100</pubDate>
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            <title>IEEE Transactions on Neural Systems and Rehabilitation Engineering publication information</title>
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            <description>(Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
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            <pubDate>Fri, 31 Jul 2009 23:00:00 +0100</pubDate>
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            <title>Front cover</title>
            <link>http://www.medworm.com/index.php?rid=2691318&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5200715%26arnumber%3D5200718</link>
            <description>(Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
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            <pubDate>Fri, 31 Jul 2009 23:00:00 +0100</pubDate>
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        <item>
            <title>Table of contents</title>
            <link>http://www.medworm.com/index.php?rid=2508344&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5089923%26arnumber%3D5089924</link>
            <description>(Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
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            <pubDate>Sun, 31 May 2009 23:00:00 +0100</pubDate>
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            <title>IEEE Transactions on Neural Systems and Rehabilitation Engineering information for authors</title>
            <link>http://www.medworm.com/index.php?rid=2508343&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5089923%26arnumber%3D5089926</link>
            <description>(Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
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            <pubDate>Sun, 31 May 2009 23:00:00 +0100</pubDate>
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        <item>
            <title>Scitopia.org</title>
            <link>http://www.medworm.com/index.php?rid=2508342&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5089923%26arnumber%3D5089928</link>
            <description>(Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
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            <pubDate>Sun, 31 May 2009 23:00:00 +0100</pubDate>
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        <item>
            <title>A Continuous Wavelet Transform and Classification Method for Delirium Motoric Subtyping</title>
            <link>http://www.medworm.com/index.php?rid=2508341&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5089923%26arnumber%3D5061576</link>
            <description>The usefulness of motor subtypes of delirium is unclear due to inconsistency in subtyping methods and a lack of validation with objective measures of activity. The activity of 40 patients was measured over 24 h with a discrete accelerometer-based activity monitor. The continuous wavelet transform (CWT) with various mother wavelets were applied to accelerometry data from three randomly selected patients with DSM-IV delirium that were readily divided into hyperactive, hypoactive, and mixed motor subtypes. A classification tree used the periods of overall movement as measured by the discrete accelerometer-based monitor as determining factors for which to classify these delirious patients. This data used to create the classification tree were based upon the minimum, maximum, standard deviation...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
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            <pubDate>Sun, 31 May 2009 23:00:00 +0100</pubDate>
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        <item>
            <title>Conjugate-Prior-Penalized Learning of Gaussian Mixture Models for Multifunction Myoelectric Hand Control</title>
            <link>http://www.medworm.com/index.php?rid=2508340&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5089923%26arnumber%3D4785180</link>
            <description>This paper presents a new learning method for Gaussian mixture models (GMMs) to improve their generalization ability. A traditional maximum a posterior (MAP) parameter estimate is used to achieve regularization based on conjugate priors. Plus, a model order selection criterion is derived from Bayesian&amp;#x2013;Laplace approaches, using the conjugate priors to measure the uncertainty of the estimated parameters. As a result, the proposed learning method avoids the possibility of convergence toward the boundary of the parameter space, and is also capable of selecting the optimal order for a GMM with more enhanced stability than conventional methods using a flat prior. When applying the proposed learning method to construct a GMM classifier for electromyogram (EMG) pattern recognition, the prop...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
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            <pubDate>Sun, 31 May 2009 23:00:00 +0100</pubDate>
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        <item>
            <title>Pointing Device Usage Guidelines for People With Quadriplegia: A Simulation and Validation Study Utilizing an Integrated Pointing Device Apparatus</title>
            <link>http://www.medworm.com/index.php?rid=2508339&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5089923%26arnumber%3D4909040</link>
            <description>This study undertakes a simulation and validation experiment to provide guidelines regarding pointing device usage for quadriplegic individuals assisted by a newly developed integrated pointing device apparatus (IPDA). The simulation experiment involving 30 normal subjects whose upper limb movement was restricted by splints. Another 15 subjects with high level cervical spinal cord injury (SCI) were recruited for the validation study. All normal subjects employed six control modes for target-acquisition and drag-and-drop tasks using an IPDA to integrate common pointing devices. A previously designed software was used to evaluate the operational efficiency (OE), expressed as &amp;#x201C;able performance&amp;#x201D; (%AP), of the subjects. The experimental results indicated that the OE of normal subj...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2508339</comments>
            <pubDate>Sun, 31 May 2009 23:00:00 +0100</pubDate>
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        <item>
            <title>Adaptive Pattern Recognition of Myoelectric Signals: Exploration of Conceptual Framework and Practical Algorithms</title>
            <link>http://www.medworm.com/index.php?rid=2508338&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5089923%26arnumber%3D5061575</link>
            <description>This study reports a novel adaptive experiment on eight subjects that allowed repeated measures post-hoc comparison of four supervised and three unsupervised adaptation paradigms. All supervised adaptation paradigms reduced error over time by at least 26% compared to the nonadapting classifier. Most unsupervised adaptation paradigms provided smaller reductions in error, due to frequent uncertainty of the correct class. One method that selected high-confidence samples showed the most practical implementation, although the other methods warrant future investigation. Supervised adaptation should be considered for incorporation into any clinically viable pattern recognition controller, and unsupervised adaptation should receive renewed interest in order to provide transparent adaptation. (Sour...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2508338</comments>
            <pubDate>Sun, 31 May 2009 23:00:00 +0100</pubDate>
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        <item>
            <title>Why is the Metabolic Efficiency of FES Cycling Low?</title>
            <link>http://www.medworm.com/index.php?rid=2508337&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5089923%26arnumber%3D4796313</link>
            <description>The potential benefits of functional electrically stimulated (FES) cycling for people with spinal cord injury (SCI) are limited by the power output (PO) attainable. To understand why PO and metabolic efficiency are low, it is helpful to distinguish the effect of the SCI from the effects of electrical stimulation. The purpose of this study was to determine the performance of electrically stimulated (ES) muscle under simpler conditions and in able-bodied people in order to answer two questions about the causes of the poor efficiency in FES cycling. Fifteen able-bodied subjects (26.6 years, six male) performed 5 min of intermittent isometric quadriceps contractions at 40% maximum voluntary contraction during both voluntary and ES activation. Subsequently, nine of them performed 5 min of ES in...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2508337</comments>
            <pubDate>Sun, 31 May 2009 23:00:00 +0100</pubDate>
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        <item>
            <title>Offline Decoding of End-Point Forces Using Neural Ensembles: Application to a Brain&amp;#x2013;Machine Interface</title>
            <link>http://www.medworm.com/index.php?rid=2508336&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5089923%26arnumber%3D5061577</link>
            <description>Brain&amp;#x2013;machine interfaces (BMIs) hold a lot of promise for restoring some level of motor function to patients with neuronal disease or injury. Current BMI approaches fall into two broad categories&amp;#x2014;those that decode discrete properties of limb movement (such as movement direction and movement intent) and those that decode continuous variables (such as position and velocity). However, to enable the prosthetic devices to be useful for common everyday tasks, precise control of the forces applied by the end-point of the prosthesis (e.g., the hand) is also essential. Here, we used linear regression and Kalman filter methods to show that neural activity recorded from the motor cortex of the monkey during movements in a force field can be used to decode the end-point forces applied by...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2508336</comments>
            <pubDate>Sun, 31 May 2009 23:00:00 +0100</pubDate>
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        <item>
            <title>Information Flow and Application to Epileptogenic Focus Localization From Intracranial EEG</title>
            <link>http://www.medworm.com/index.php?rid=2508335&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5089923%26arnumber%3D5061578</link>
            <description>In this study, we suggest improvements in the selection of parameters for the estimation of ${rm TE}$ that significantly enhance its accuracy and robustness in identifying the direction and the level of information flow between observed data series generated by coupled complex systems. We show the application of the improved ${rm TE}$ method to long (in the order of days; approximately a total of 600 h across all patients), continuous, intracranial electroencephalograms (EEG) recorded in two different medical centers from four patients with focal temporal lobe epilepsy (TLE) for localization of their foci. All patients underwent ablative surgery of their clinically assessed foci. Based on a surrogate statistical analysis of the ${rm TE}$ results, it is shown that the identified potential f...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2508335</comments>
            <pubDate>Sun, 31 May 2009 23:00:00 +0100</pubDate>
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        <item>
            <title>Cerebral Plasticity After Subcortical Stroke as Revealed by Cortico-Muscular Coherence</title>
            <link>http://www.medworm.com/index.php?rid=2508334&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5089923%26arnumber%3D4627453</link>
            <description>In this study one recently proposed method, maximizing coherence, was applied into the coherence analysis to estimate the latency by which the extensor carpi radialis electromyographic signals lagged behind the electroencephalographic time series with seven subcortical stroke subjects. Significantly prolonged conduction time was found in affected sides compared with the unaffected sides. The interhemispheric spatial displacement was also calculated using electrodes projection optimization and spherical surface laplacian. The results showed that the CMCoh could help investigate the cerebral reorganization after stroke. (Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
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            <pubDate>Sun, 31 May 2009 23:00:00 +0100</pubDate>
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        <item>
            <title>Estimation of Effective and Functional Cortical Connectivity From Neuroelectric and Hemodynamic Recordings</title>
            <link>http://www.medworm.com/index.php?rid=2508333&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5089923%26arnumber%3D4703284</link>
            <description>In this paper, different linear and nonlinear methodologies for the estimation of cortical connectivity from neuroelectric and hemodynamic measurements are reviewed and applied on common data set in order to highlight similarities and differences in the results. Different effective and functional connectivity methods were applied to motor and cognitive data sets, including structural equation modeling (SEM), directed transfer function (DTF), partial directed coherence (PDC), and direct directed transfer function (dDTF). Comparisons were made between the results in order to understand if, for a same dataset, effective and functional connectivity estimators can return the same cortical connectivity patterns. An application of a nonlinear method [phase synchronization index (PSI)] to similar ...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
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            <pubDate>Sun, 31 May 2009 23:00:00 +0100</pubDate>
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        <item>
            <title>Temporal Lobe Epilepsy: Anatomical and Effective Connectivity</title>
            <link>http://www.medworm.com/index.php?rid=2508332&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5089923%26arnumber%3D4627457</link>
            <description>While temporal lobe epilepsy (TLE) has been treatable with anti-seizure medications over the past century, there still remain a large percentage of patients whose seizures remain untreatable pharmacologically. To better understand and treat TLE, our laboratory uses several in vivo analytical techniques to estimate connectivity in epilepsy. This paper reviews two different connectivity-based approaches with an emphasis on application to the study of epilepsy. First, we present effective connectivity techniques, such as Granger causality, that has been used to assess the dynamic directional relationships among brain regions. These measures are used to better understand how seizure activity initiates, propagates, and terminates. Second, structural techniques, such as magnetic resonance imagin...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2508332</comments>
            <pubDate>Sun, 31 May 2009 23:00:00 +0100</pubDate>
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        <item>
            <title>Bayesian Inference of Functional Connectivity and Network Structure From Spikes</title>
            <link>http://www.medworm.com/index.php?rid=2508331&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5089923%26arnumber%3D4703283</link>
            <description>Current multielectrode techniques enable the simultaneous recording of spikes from hundreds of neurons. To study neural plasticity and network structure it is desirable to infer the underlying functional connectivity between the recorded neurons. Functional connectivity is defined by a large number of parameters, which characterize how each neuron influences the other neurons. A Bayesian approach that combines information from the recorded spikes (likelihood) with prior beliefs about functional connectivity (prior) can improve inference of these parameters and reduce overfitting. Recent studies have used likelihood functions based on the statistics of point-processes and a prior that captures the sparseness of neural connections. Here we include a prior that captures the empirical finding ...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
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            <pubDate>Sun, 31 May 2009 23:00:00 +0100</pubDate>
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        <item>
            <title>Guest Editorial Modeling the Connectivity of the Neural Systems</title>
            <link>http://www.medworm.com/index.php?rid=2508330&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5089923%26arnumber%3D5089929</link>
            <description>(Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
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            <pubDate>Sun, 31 May 2009 23:00:00 +0100</pubDate>
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            <title>IEEE Transactions on Neural Systems and Rehabilitation Engineering publication information</title>
            <link>http://www.medworm.com/index.php?rid=2508329&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5089923%26arnumber%3D5089925</link>
            <description>(Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
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            <pubDate>Sun, 31 May 2009 23:00:00 +0100</pubDate>
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        <item>
            <title>Front cover</title>
            <link>http://www.medworm.com/index.php?rid=2508328&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D5089923%26arnumber%3D5089927</link>
            <description>(Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
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            <pubDate>Sun, 31 May 2009 23:00:00 +0100</pubDate>
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        <item>
            <title>Table of contents</title>
            <link>http://www.medworm.com/index.php?rid=2330150&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4812307%26arnumber%3D4812308</link>
            <description>(Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
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            <pubDate>Fri, 17 Apr 2009 04:00:00 +0100</pubDate>
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            <title>IEEE Transactions on Neural Systems and Rehabilitation Engineering information for authors</title>
            <link>http://www.medworm.com/index.php?rid=2330149&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4812307%26arnumber%3D4812311</link>
            <description>(Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
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            <pubDate>Fri, 17 Apr 2009 04:00:00 +0100</pubDate>
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        <item>
            <title>IEEE Copyright Form</title>
            <link>http://www.medworm.com/index.php?rid=2330148&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4812307%26arnumber%3D4812309</link>
            <description>(Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
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            <pubDate>Fri, 17 Apr 2009 04:00:00 +0100</pubDate>
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            <title>Causes of Transient Instabilities in the Dynamic Clamp</title>
            <link>http://www.medworm.com/index.php?rid=2330147&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4812307%26arnumber%3D4785195</link>
            <description>In this study, we show that the combination of these limitations causes transient instabilities under certain conditions. Through physical experiments and simulations, we show that dynamic clamp instability is directly related to the sampling delay and the maximum simulated conductance being injected. It is exaggerated by insufficient electrode series resistance and capacitance compensation. Increasing the sampling rate of the dynamic clamp system increases dynamic clamp stability; however, this improvement, is constrained by how well the electrode series resistance and capacitance are compensated. At present, dynamic clamp sampling rates are justified solely on the temporal dynamics of the models being simulated; here we show that faster rates increase the stable range of operation for th...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2330147</comments>
            <pubDate>Fri, 17 Apr 2009 04:00:00 +0100</pubDate>
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            <title>An Adaptive Sampling System for Sensor Nodes in Body Area Networks</title>
            <link>http://www.medworm.com/index.php?rid=2330146&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4812307%26arnumber%3D4812313</link>
            <description>The importance of body sensor networks to monitor patients over a prolonged period of time has increased with an advance in home healthcare applications. Sensor nodes need to operate with very low-power consumption and under the constraint of limited memory capacity. Therefore, it is wasteful to digitize the sensor signal at a constant sample rate, given that the frequency contents of the signals vary with time. Adaptive sampling is established as a practical method to reduce the sample data volume. In this paper a low-power analog system is proposed, which adjusts the converter clock rate to perform a peak-picking algorithm on the second derivative of the input signal. The presented implementation does not require an analog-to-digital converter or a digital processor in the sample selecti...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2330146</comments>
            <pubDate>Fri, 17 Apr 2009 04:00:00 +0100</pubDate>
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        <item>
            <title>A Flat Interface Nerve Electrode With Integrated Multiplexer</title>
            <link>http://www.medworm.com/index.php?rid=2330145&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4812307%26arnumber%3D4685628</link>
            <description>One of the goals of peripheral nerve cuff electrode development is the design of an electrode capable of selectively activating a specific population of axons in a common nerve trunk. Several designs such as the round spiral electrode or the flat interface nerve electrode (FINE) have shown such ability. However, multiple contact electrodes require many leads, making the implantation difficult and potentially damaging to the nerve. Taking advantage of the flat geometry of the FINE, multiplexers were embedded within the cuff electrode to reduce the number of leads needed to control 32 channels. The circuit was implemented on a polyimide film using off-the-shelf electronic components. The electronic module was surface-mounted directly onto the electrode's flat substrate. Two circuit designs w...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2330145</comments>
            <pubDate>Fri, 17 Apr 2009 04:00:00 +0100</pubDate>
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        <item>
            <title>A Three-Dimensional Biomechanical Evaluation of Quadriceps and Hamstrings Function Using Electrical Stimulation</title>
            <link>http://www.medworm.com/index.php?rid=2330144&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4812307%26arnumber%3D4773251</link>
            <description>Neurological disorders such as stroke impair locomotor control and result in abnormal 3-D gait kinematics. Establishment of effective rehabilitation strategies requires an understanding of how individual muscles contribute to pathological movement. Forward dynamic simulations account for complexities of interjoint coupling and can be used to predict dynamic muscle function. However to date, limited experimental validations of dynamic models have been performed. Our objective was to measure 3-D movement induced by the biceps femoris (BF), rectus femoris (RF), and vastus lateralis (VL) in limb configurations corresponding to the swing phase of gait, and to assess the biomechanical factors that affect dynamic function. Subjects were positioned in a robotic gait orthosis that included a compli...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2330144</comments>
            <pubDate>Fri, 17 Apr 2009 04:00:00 +0100</pubDate>
            <guid isPermaLink="false">2330144</guid>        </item>
        <item>
            <title>The Development of Two Mobile Gait Rehabilitation Systems</title>
            <link>http://www.medworm.com/index.php?rid=2330143&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4812307%26arnumber%3D4785182</link>
            <description>The ability to walk without the help of a caretaker enhances the quality of life for those who are bed-ridden or confined to a wheelchair. At present, most of the available gait rehabilitation robot systems have been designed to support the body weight externally. For gait training to be effective, a mobile body weight support (BWS) mechanism is needed. In mobile gait training robot systems, functions such as patient path following and constant BWS are important issues, particularly in dynamic environments. In the present study, two types of robotic systems were developed for gait rehabilitation. The first is known as the mobile manipulator type and the second the mobile vehicle type. The differences between the two systems in design and control are discussed. A control algorithm based on ...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2330143</comments>
            <pubDate>Fri, 17 Apr 2009 04:00:00 +0100</pubDate>
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        <item>
            <title>Neck and Face Surface Electromyography for Prosthetic Voice Control After Total Laryngectomy</title>
            <link>http://www.medworm.com/index.php?rid=2330142&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4812307%26arnumber%3D4801968</link>
            <description>The electrolarynx (EL) is a common rehabilitative speech aid for individuals who have undergone total laryngectomy, but they typically lack pitch control and require the exclusive use of one hand. The viability of using neck and face surface electromyography (sEMG) to control the onset, offset, and pitch of an EMG-controlled EL (EMG-EL) was studied. Eight individuals who had undergone total laryngectomy produced serial and running speech using a typical handheld EL and the EMG-EL while attending to real-time visual sEMG biofeedback. Running speech tokens produced with the EMG-EL were examined for naturalness by 10 listeners relative to those produced with a typical EL using a visual analog scale. Serial speech performance was assessed as the percentage of words that were fully voiced and p...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2330142</comments>
            <pubDate>Fri, 17 Apr 2009 04:00:00 +0100</pubDate>
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        <item>
            <title>Unsupervised Brain Computer Interface Based on Intersubject Information and Online Adaptation</title>
            <link>http://www.medworm.com/index.php?rid=2330141&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4812307%26arnumber%3D4785192</link>
            <description>Conventional brain computer interfaces rely on a guided calibration procedure to address the problem of considerable variations in electroencephalography (EEG) across human subjects. This calibration, however, implies inconvenience to the end users. In this paper, we propose an online-adaptive-learning method to address this problem for P300-based brain computer interfaces. By automatically capturing subject-specific EEG characteristics during online operation, this method allows a new user to start operating a P300-based brain&amp;#x2013;computer interface without guided (supervised) calibration. The basic principle is to first learn a generic model termed subject-independent model offline from EEG of a pool of subjects to capture common P300 characteristics. For a new user, a new model terme...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2330141</comments>
            <pubDate>Fri, 17 Apr 2009 04:00:00 +0100</pubDate>
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        <item>
            <title>Influences of Hypothermia on the Cortical Blood Supply by Laser Speckle Imaging</title>
            <link>http://www.medworm.com/index.php?rid=2330140&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4812307%26arnumber%3D4773249</link>
            <description>Induced hypothermia has been broadly applied in neurological intensive care unit (NICU). Meanwhile, accidental hypothermia is also a threatening condition in daily life. It is meaningful to investigate the influences of temperature change on the cerebral blood flow (CBF). In the present study, temporal laser speckle image contrast analysis (tLASCA) was implemented to study the relative CBF change in cerebral artery, vein and capillary level under mild (35 $^{circ} {rm C}$) and moderate (32 $^{circ} {rm C}$) hypothermia. Twelve male Sprague-Dawley rats ($300 pm 50~{rm g}$) were anesthetized with sodium pentobarbital and randomly assigned to mild and moderate hypothermia groups ( ${ n}=9$ each). Laser speckle imaging (LSI) trials were acquired from baseline ( 37 $, ^{circ} {rm C}$ ), hypothe...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2330140</comments>
            <pubDate>Fri, 17 Apr 2009 04:00:00 +0100</pubDate>
            <guid isPermaLink="false">2330140</guid>        </item>
        <item>
            <title>Compressed and Distributed Sensing of Neuronal Activity for Real Time Spike Train Decoding</title>
            <link>http://www.medworm.com/index.php?rid=2330139&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4812307%26arnumber%3D4773250</link>
            <description>Multivariate point processes are increasingly being used to model neuronal response properties in the cortex. Estimating the conditional intensity functions underlying these processes is important to characterize and decode the firing patterns of cortical neurons. This paper proposes a new approach for estimating these intensity functions directly from a compressed representation of the neurons' extracellular recordings. The approach is based on exploiting a sparse representation of the extracellular spike waveforms, previously demonstrated to yield near-optimal denoising and compression properties. We show that by restricting this sparse representation to a subset of projections that simultaneously preserve features of the spike waveforms in addition to the temporal characteristics of the...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2330139</comments>
            <pubDate>Fri, 17 Apr 2009 04:00:00 +0100</pubDate>
            <guid isPermaLink="false">2330139</guid>        </item>
        <item>
            <title>A Prior Neurophysiologic Knowledge Free Tensor-Based Scheme for Single Trial EEG Classification</title>
            <link>http://www.medworm.com/index.php?rid=2330138&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4812307%26arnumber%3D4685904</link>
            <description>Single trial electroencephalogram (EEG) classification is essential in developing brain&amp;#x2013;computer interfaces (BCIs). However, popular classification algorithms, e.g., common spatial patterns (CSP), usually highly depend on the prior neurophysiologic knowledge for noise removing, although this knowledge is not always known in practical applications. In this paper, a novel tensor-based scheme is proposed for single trial EEG classification, which performs well without the prior neurophysiologic knowledge. In this scheme, EEG signals are represented in the spatial-spectral-temporal domain by the wavelet transform, the multilinear discriminative subspace is reserved by the general tensor discriminant analysis (GTDA), redundant indiscriminative patterns are removed by Fisher score, and th...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2330138</comments>
            <pubDate>Fri, 17 Apr 2009 04:00:00 +0100</pubDate>
            <guid isPermaLink="false">2330138</guid>        </item>
        <item>
            <title>Three-Dimensional Source Imaging From Simultaneously Recorded ERP and BOLD-fMRI</title>
            <link>http://www.medworm.com/index.php?rid=2330137&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4812307%26arnumber%3D4785188</link>
            <description>We present the 3-D EEG source images reconstructed by using the minimum norm least square (MNLS) method in combination with the functional magnetic resonance imaging (fMRI) statistical parametric mapping. For a group of five normal subjects, electroencephalogram (EEG) and fMRI signals responding to the full-view checkerboard pattern-reversal visual stimulation were recorded simultaneously and separately. The electrical activities in V1/V2 and V5 were successfully imaged in the N75-P100-N145 and P100-N145 components, respectively. The present results demonstrate the merits of high-resolution spatiotemporal functional neuroimaging by integrating the simultaneously recorded fMRI and EEG data. (Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2330137</comments>
            <pubDate>Fri, 17 Apr 2009 04:00:00 +0100</pubDate>
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        <item>
            <title>IEEE Transactions on Neural Systems and Rehabilitation Engineering publication information</title>
            <link>http://www.medworm.com/index.php?rid=2330136&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4812307%26arnumber%3D4812310</link>
            <description>(Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2330136</comments>
            <pubDate>Fri, 17 Apr 2009 04:00:00 +0100</pubDate>
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        <item>
            <title>Front cover</title>
            <link>http://www.medworm.com/index.php?rid=2330135&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4812307%26arnumber%3D4812312</link>
            <description>(Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2330135</comments>
            <pubDate>Fri, 17 Apr 2009 04:00:00 +0100</pubDate>
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        <item>
            <title>Table of contents</title>
            <link>http://www.medworm.com/index.php?rid=2261104&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4782182%26arnumber%3D4782183</link>
            <description>(Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2261104</comments>
            <pubDate>Sat, 14 Feb 2009 05:00:00 +0100</pubDate>
            <guid isPermaLink="false">2261104</guid>        </item>
        <item>
            <title>IEEE Transactions on Neural Systems and Rehabilitation Engineering information for authors</title>
            <link>http://www.medworm.com/index.php?rid=2261103&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4782182%26arnumber%3D4782185</link>
            <description>(Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2261103</comments>
            <pubDate>Sat, 14 Feb 2009 05:00:00 +0100</pubDate>
            <guid isPermaLink="false">2261103</guid>        </item>
        <item>
            <title>Directionally Specific Objective Postural Response Assessment Tool for Treatment Evaluation in Stroke Patients</title>
            <link>http://www.medworm.com/index.php?rid=2261102&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4782182%26arnumber%3D4703207</link>
            <description>The aim of the research is to develop an objective evaluation tool for use in stroke rehabilitation clinical practice. Stroke patients are prone to particularly high risk of fall, which may differ for various directions of movement. An apparatus enabling perturbations and postural response assessment in eight directions in transversal plane during standing was used to assess data in seven neurologically intact volunteers and 10 stroke patients before and after the rehabilitation. Ground reaction force and center of pressure were acquired during the perturbation, signal processed and compared to Berg Balance Scale (BBS), a clinical outcome measure of balance. The results of the weight load ratio between the affected and unaffected lower extremity demonstrated objective positive outcomes of ...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2261102</comments>
            <pubDate>Sat, 14 Feb 2009 05:00:00 +0100</pubDate>
            <guid isPermaLink="false">2261102</guid>        </item>
        <item>
            <title>Feasibility of EMG-Based Neural Network Controller for an Upper Extremity Neuroprosthesis</title>
            <link>http://www.medworm.com/index.php?rid=2261101&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4782182%26arnumber%3D4703287</link>
            <description>The overarching goal of this project is to provide shoulder and elbow function to individuals with C5/C6 spinal cord injury (SCI) using functional electrical stimulation (FES), increasing the functional outcomes currently provided by a hand neuroprosthesis. The specific goal of this study was to design a controller based on an artificial neural network (ANN) that extracts information from the activity of muscles that remain under voluntary control sufficient to predict appropriate stimulation levels for several paralyzed muscles in the upper extremity. The ANN was trained with activation data obtained from simulations using a musculoskeletal model of the arm that was modified to reflect C5 SCI and FES capabilities. Several arm movements were recorded from able-bodied subjects and these kin...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2261101</comments>
            <pubDate>Sat, 14 Feb 2009 05:00:00 +0100</pubDate>
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        <item>
            <title>Backstepping and Sliding Mode Control Hybridized for a Prosthetic Hand</title>
            <link>http://www.medworm.com/index.php?rid=2261100&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4782182%26arnumber%3D4627454</link>
            <description>Open loop and force controllers are compared experimentally with three robust parallel force-velocity controllers that are developed for a prosthetic hand. Robust sliding mode, backstepping, and hybrid sliding mode-backstepping (HSMBS) parallel force-velocity controllers are tested by ten able-bodied subjects. Results obtained with a myoelectrically controlled prosthesis indicate that all three robust controllers offer a statistically significant improvement over linear hand prosthesis control schemes. The robust controllers enable the human operators to more easily manipulate a delicate object. Bench top experiments combined with quantitative and qualitative evaluations from ten test subjects reveal the HSMBS controller to be the best choice to improve control of powered prosthetic hands....</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2261100</comments>
            <pubDate>Sat, 14 Feb 2009 05:00:00 +0100</pubDate>
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        <item>
            <title>Control of the Lower Leg During Walking: A Versatile Model of the Foot</title>
            <link>http://www.medworm.com/index.php?rid=2261099&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4782182%26arnumber%3D4703282</link>
            <description>An improved biomechanical model has been implemented for use in gait simulations and functional electrical stimulation (FES). The novelty includes longitudinal bending of the foot which implements geometrical changes that appear &amp;#x201C;healthy-like&amp;#x201D; during the stance phase of gait. The simulation uses optimal control which minimizes the activation of flexor and extensor muscles, as well as the tracking error. Correspondingly, the results of the bending foot model, contrasted against a rigid foot biomechanical model, show that torques in the knee during foot contact were as much as 36.9 Nm (46.1%) lower, while muscle excitation was on average 6.1% lower. The simulation also shows that the shank angle of the bending foot model was virtually identical to that of the rigid foot model. ...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2261099</comments>
            <pubDate>Sat, 14 Feb 2009 05:00:00 +0100</pubDate>
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        <item>
            <title>Localization of Active Pathways in Peripheral Nerves: A Simulation Study</title>
            <link>http://www.medworm.com/index.php?rid=2261098&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4782182%26arnumber%3D4703285</link>
            <description>A methodology is investigated for determining the location of active pathways in a peripheral nerve using measurements from a multicontact cuff electrode. The problem is treated as an inverse problem of source localization and solved using the sLORETA algorithm, developed for the electroencephalogram/magnetoencephalogram source localization problem. Simulated measurements are generated corresponding to action potentials traveling along either one or three pathways in a rat sciatic nerve. The performance of the proposed methodology using these measurements is evaluated in terms of localization error, missed pathways, and spurious pathways. The source localization performance when assuming an idealized nerve anatomy is compared to that when the correct anatomy is known. The effect of a spati...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2261098</comments>
            <pubDate>Sat, 14 Feb 2009 05:00:00 +0100</pubDate>
            <guid isPermaLink="false">2261098</guid>        </item>
        <item>
            <title>Corticothalamic Feedback Dynamics for Neural Correlates of Auditory Selective Attention</title>
            <link>http://www.medworm.com/index.php?rid=2261097&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4782182%26arnumber%3D4703281</link>
            <description>Auditory evoked cortical potentials (AECPs) have been consolidated as a diagnostic tool in audiology. Further applications of this technique are in experimental neuropsychology, neuroscience, and psychiatry, e.g., for the attention deficit disorder, schizophrenia, or for studying the tinnitus decompensation. In particular, numerous psychophysiological studies have emphasized their dynamic characteristics in relation to exogenous and endogenous attention. However, the effect of corticothalamic feedback dynamics to neural correlates of focal and nonfocal attention and its large-scale effect reflected in AECPs is far from being understood. To address this issue, we model neural correlates of auditory selective attention reflected in AECPs by using corticothalamic feedback dynamics. In our fra...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2261097</comments>
            <pubDate>Sat, 14 Feb 2009 05:00:00 +0100</pubDate>
            <guid isPermaLink="false">2261097</guid>        </item>
        <item>
            <title>The WalkTrainer&amp;#x2014;A New Generation of Walking Reeducation Device Combining Orthoses and Muscle Stimulation</title>
            <link>http://www.medworm.com/index.php?rid=2261096&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4782182%26arnumber%3D4668437</link>
            <description>This paper presents a novel reeducation device for paraplegics that combines hybrid orthoses and closed-loop electrical muscle stimulation. Based on the so called Cyberthosis concept, the WalkTrainer enables an active muscular participation of the subject in the walking reeducation process by the mean of closed-loop muscle stimulation. The WalkTrainer is also equipped with a leg and pelvic orthosis, an active bodyweight support, and motorized wheels to allow true over ground deambulation. This paper will focus on the development of the WalkTrainer, the presentation of the control strategies, and also give some preliminary results of the first clinical trials. (Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2261096</comments>
            <pubDate>Sat, 14 Feb 2009 05:00:00 +0100</pubDate>
            <guid isPermaLink="false">2261096</guid>        </item>
        <item>
            <title>Medial Gastrocnemius Myoelectric Control of a Robotic Ankle Exoskeleton</title>
            <link>http://www.medworm.com/index.php?rid=2261095&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4782182%26arnumber%3D4668436</link>
            <description>A previous study from our laboratory showed that when soleus electromyography was used to control the amount of plantar flexion assistance from a robotic ankle exoskeleton, subjects significantly reduced their soleus activity to quickly return to normal gait kinematics. We speculated that subjects were primarily responding to the local mechanical assistance of the exoskeleton rather than directly attempting to reduce exoskeleton mechanical power via decreases in soleus activity. To test this observation we studied ten healthy subjects walking on a treadmill at 1.25 m/s while wearing a robotic exoskeleton proportionally controlled by medial gastrocnemius activation. We hypothesized that subjects would primarily decrease soleus activity due to its synergistic mechanics with the exoskeleton. ...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2261095</comments>
            <pubDate>Sat, 14 Feb 2009 05:00:00 +0100</pubDate>
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        <item>
            <title>Reference Trajectory Generation for Rehabilitation Robots: Complementary Limb Motion Estimation</title>
            <link>http://www.medworm.com/index.php?rid=2261094&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4782182%26arnumber%3D4668434</link>
            <description>This study showed that CLME ensures stable gait. In a second study, to be presented in this paper, healthy subjects walk with both their own legs to assess the interference with self-determined walking. Evaluation criteria are: Power delivered to the joints by the robot, electromyography (EMG) distortions, and kinematic distortions, all compared to zero torque control, which is the baseline of minimum achievable interference. Results indicate that interference of the robot is lower with CLME than with a fixed reference trajectory, mainly in terms of lowered exchanged power and less alteration of EMG. This implies that subjects can walk more naturally with CLME, and they are assisted less by the robot when it is not needed. Future studies with patients are yet to show whether these properti...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2261094</comments>
            <pubDate>Sat, 14 Feb 2009 05:00:00 +0100</pubDate>
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        <item>
            <title>A Method of Estimating the Degree of Active Participation During Stepping in a Driven Gait Orthosis Based on Actuator Force Profile Matching</title>
            <link>http://www.medworm.com/index.php?rid=2261093&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4782182%26arnumber%3D4668435</link>
            <description>Visual biofeedback with information about the patients' degree of activity is a valuable adjunct to robot-assisted gait training as means of increasing the motivation and participation of the patients during highly repetitive training sessions. In the driven gait orthosis (DGO) Lokomat, an estimation of the patient's activity level was based on man&amp;#x2013;machine interaction forces as measured at the hip and knee actuators of the exoskeletal device. In an early approach, theoretical assumptions about the expected man&amp;#x2013;machine interaction forces, due to the varying behavior of the patients, were formulated for the calculation of quantitative biofeedback. In contrast to this theory-based approach, we have developed a novel method where the biofeedback calculations were based on measure...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2261093</comments>
            <pubDate>Sat, 14 Feb 2009 05:00:00 +0100</pubDate>
            <guid isPermaLink="false">2261093</guid>        </item>
        <item>
            <title>Load-Relief of Walking Aids on Osseointegrated Fixation: Instrument for Evidence-Based Practice</title>
            <link>http://www.medworm.com/index.php?rid=2261092&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4782182%26arnumber%3D4703286</link>
            <description>This study presents a method that can be used by clinicians facing the challenge of prescribing and assessing walking aids to restore the locomotion of lower limb amputees in the framework of an evidence-based practice. (Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
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            <pubDate>Sat, 14 Feb 2009 05:00:00 +0100</pubDate>
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        <item>
            <title>Robot Assisted Gait Training With Active Leg Exoskeleton (ALEX)</title>
            <link>http://www.medworm.com/index.php?rid=2261091&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4782182%26arnumber%3D4663875</link>
            <description>Gait training of stroke survivors is crucial to facilitate neuromuscular plasticity needed for improvements in functional walking ability. Robot assisted gait training (RAGT) was developed for stroke survivors using active leg exoskeleton (ALEX) and a force-field controller, which uses assist-as-needed paradigm for rehabilitation. In this paradigm undesirable gait motion is resisted and assistance is provided towards desired motion. The force-field controller achieves this paradigm by effectively applying forces at the ankle of the subject through actuators on the hip and knee joints. Two stroke survivors participated in a 15-session gait training study each with ALEX. The results show that by the end of the training the gait pattern of the patients improved and became closer to a healthy ...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
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            <pubDate>Sat, 14 Feb 2009 05:00:00 +0100</pubDate>
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        <item>
            <title>Guest Editorial</title>
            <link>http://www.medworm.com/index.php?rid=2261090&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4782182%26arnumber%3D4782187</link>
            <description>The six contributed papers in this special issue focus on the theme of lower extremity exoskeletons for gait rehabilitation. (Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
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            <pubDate>Sat, 14 Feb 2009 05:00:00 +0100</pubDate>
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            <title>IEEE Transactions on Neural Systems and Rehabilitation Engineering publication information</title>
            <link>http://www.medworm.com/index.php?rid=2261089&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4782182%26arnumber%3D4782184</link>
            <description>(Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
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            <pubDate>Sat, 14 Feb 2009 05:00:00 +0100</pubDate>
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        <item>
            <title>Front cover</title>
            <link>http://www.medworm.com/index.php?rid=2261088&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4782182%26arnumber%3D4782186</link>
            <description>(Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
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            <pubDate>Sat, 14 Feb 2009 05:00:00 +0100</pubDate>
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            <title>Interpretable Classifiers for fMRI Improve Prediction of Purchases</title>
            <link>http://www.medworm.com/index.php?rid=2184399&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4731271%26arnumber%3D4536579</link>
            <description>Despite growing interest in applying machine learning to neuroimaging analyses, few studies have gone beyond classifying sensory input to directly predicting behavioral output. With spatial resolution on the order of millimeters and temporal resolution on the order of seconds, functional magnetic resonance imaging (fMRI) is a promising technology for such applications. However, fMRI data's low signal-to-noise ratio, high dimensionality, and extensive spatiotemporal correlations present formidable analytic challenges. Here, we apply different machine-learning algorithms to previously acquired data to examine the ability of fMRI activation in three regions&amp;#x2014;the nucleus accumbens (NAcc), medial prefrontal cortex (MPFC), and insula&amp;#x2014;to predict purchasing. Our goal was to improve sp...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
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            <pubDate>Sun, 14 Dec 2008 05:00:00 +0100</pubDate>
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        <item>
            <title>Table of contents</title>
            <link>http://www.medworm.com/index.php?rid=2102117&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4731271%26arnumber%3D4747402</link>
            <description>(Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
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            <pubDate>Sun, 14 Dec 2008 05:00:00 +0100</pubDate>
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            <title>IEEE Transactions on Neural Systems and Rehabilitation Engineering information for authors</title>
            <link>http://www.medworm.com/index.php?rid=2102116&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4731271%26arnumber%3D4747404</link>
            <description>(Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
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            <pubDate>Sun, 14 Dec 2008 05:00:00 +0100</pubDate>
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        <item>
            <title>Have you visited lately? www.ieee.org</title>
            <link>http://www.medworm.com/index.php?rid=2102115&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4731271%26arnumber%3D4747401</link>
            <description>(Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
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            <pubDate>Sun, 14 Dec 2008 05:00:00 +0100</pubDate>
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        <item>
            <title>Front cover</title>
            <link>http://www.medworm.com/index.php?rid=2102114&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4731271%26arnumber%3D4747504</link>
            <description>(Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2102114</comments>
            <pubDate>Sun, 14 Dec 2008 05:00:00 +0100</pubDate>
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        <item>
            <title>Leading the field since 1884</title>
            <link>http://www.medworm.com/index.php?rid=2102113&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4731271%26arnumber%3D4747400</link>
            <description>(Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2102113</comments>
            <pubDate>Sun, 14 Dec 2008 05:00:00 +0100</pubDate>
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        <item>
            <title>2008 Index IEEE Transactions on Neural Systems and Rehabilitation Engineering Vol. 16</title>
            <link>http://www.medworm.com/index.php?rid=2102112&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4731271%26arnumber%3D4747405</link>
            <description>(Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2102112</comments>
            <pubDate>Sun, 14 Dec 2008 05:00:00 +0100</pubDate>
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        <item>
            <title>A Smart Multisensor Approach to Assist Blind People in Specific Urban Navigation Tasks</title>
            <link>http://www.medworm.com/index.php?rid=2102111&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4731271%26arnumber%3D4599231</link>
            <description>Visually impaired people are often discouraged in using electronic aids due to complexity of operation, large amount of training, nonoptimized degree of information provided to the user, and high cost. In this paper, a new multisensor architecture is discussed, which would help blind people to perform urban mobility tasks. The device is based on a multisensor strategy and adopts smart signal processing. (Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2102111</comments>
            <pubDate>Sun, 14 Dec 2008 05:00:00 +0100</pubDate>
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            <title>HandCARE: A Cable-Actuated Rehabilitation System to Train Hand Function After Stroke</title>
            <link>http://www.medworm.com/index.php?rid=2102110&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4731271%26arnumber%3D4731273</link>
            <description>We have developed a robotic interface to train hand and finger function. HandCARE is a Cable-Actuated REhabilitation system, in which each finger is attached to an instrumented cable loop allowing force control and a predominantly linear displacement. The device, whose designed is based on biomechanical measurements, can assist the subject in opening and closing movements and can be adapted to accommodate various hand shapes and finger sizes. Main features of the interface include a differential sensing system, and a clutch system which allows independent movement of the five fingers with only one actuator. The device is safe, easily transportable, and offers multiple training possibilities. This paper presents the biomechanical measurements carried out to determine the requirements for a ...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2102110</comments>
            <pubDate>Sun, 14 Dec 2008 05:00:00 +0100</pubDate>
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        <item>
            <title>Fascicular Perineurium Thickness, Size, and Position Affect Model Predictions of Neural Excitation</title>
            <link>http://www.medworm.com/index.php?rid=2102109&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4731271%26arnumber%3D4731275</link>
            <description>This study evaluated the effects of fascicle perineurial thickness, diameter, and position on axonal excitation thresholds and population recruitment using finite element models and NEURON simulations. The perineurial thickness of human fascicles was found to be 3.0% $pm$ 1.0% of the fascicle diameter. Increased perineurial thickness and fascicle diameter increased activation thresholds. The presence of a large neighboring fascicle caused a significant change in activation of a smaller target fascicle by as much as 80% $pm$ 11% of the total axon population. Smaller fascicles were recruited at lower amplitudes than neighboring larger fascicles. These effects were further illustrated in a realistic model of a human femoral nerve surrounded by a nerve cuff electrode. The data suggest that fas...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2102109</comments>
            <pubDate>Sun, 14 Dec 2008 05:00:00 +0100</pubDate>
            <guid isPermaLink="false">2102109</guid>        </item>
        <item>
            <title>The Coordination Dynamics of Economic Decision Making: A Multilevel Approach to Social Neuroeconomics</title>
            <link>http://www.medworm.com/index.php?rid=2102108&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4731271%26arnumber%3D4731274</link>
            <description>The basic reciprocity between individual parts and collective organization constitutes a key scientific question spanning the biological and social sciences. Such reciprocity is accompanied by the absence of direct linkages between levels of description giving rise to what is often referred to as the aggregation or nonequivalence problem between levels of analysis. This issue is encountered both in neuroscience and economics. So far, in spite of being identified and extensively discussed in various (other) scientific fields, the problem of understanding the nature of the interactions and coordination dynamics between individual (neuron $sim$ agent) and collective (neural networks $sim$ population of humans) behaviors has received little, if any attention in the growing field of neuroeconom...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2102108</comments>
            <pubDate>Sun, 14 Dec 2008 05:00:00 +0100</pubDate>
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        <item>
            <title>Characterizing the EEG Correlates of Exploratory Behavior</title>
            <link>http://www.medworm.com/index.php?rid=2102107&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4731271%26arnumber%3D4537154</link>
            <description>This study aims to characterize the electroencephalography (EEG) correlates of exploratory behavior. Decision making in an uncertain environment raises a conflict between two opposing needs: gathering information about the environment and exploiting this knowledge in order to optimize the decision. Exploratory behavior has already been studied using functional magnetic resonance imaging (fMRI). Based on a usual paradigm in reinforcement learning, this study has shown bilateral activation in the frontal and parietal cortex. To our knowledge, no previous study has been done on it using EEG. The study of the exploratory behavior using EEG signals raises two difficulties. First, the labels of trial as exploitation or exploration cannot be directly derived from the subject action. In order to a...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2102107</comments>
            <pubDate>Sun, 14 Dec 2008 05:00:00 +0100</pubDate>
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        <item>
            <title>How Neuroscience Can Inform Consumer Research</title>
            <link>http://www.medworm.com/index.php?rid=2102106&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4731271%26arnumber%3D4685630</link>
            <description>Recently, a rapidly growing approach within consumer research has developed under the label of &amp;#x201C;consumer neuroscience.&amp;#x201D; Its goal is to use insights and methods from neuroscience to enhance the understanding of consumer behavior. In this paper we aim to provide an overview of questions of interest to consumer researchers, to present initial research findings, and to outline potential implications for consumer research. In order to do so, we first discuss the term &amp;#x201C;consumer neuroscience&amp;#x201D; and give a brief description of recently discussed issues in consumer research. We then provide a review and short description of initial empirical evidence from past studies in consumer neuroscience. Next, we present an example of how consumer research or, more specifically, cust...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2102106</comments>
            <pubDate>Sun, 14 Dec 2008 05:00:00 +0100</pubDate>
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        <item>
            <title>Neural Basis for Brain Responses to TV Commercials: A High-Resolution EEG Study</title>
            <link>http://www.medworm.com/index.php?rid=2102105&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4731271%26arnumber%3D4685627</link>
            <description>We investigated brain activity during the observation of TV commercials by tracking the cortical activity and the functional connectivity changes in normal subjects. The aim was to elucidate if the TV commercials that were remembered by the subjects several days after their first observation elicited particular brain activity and connectivity compared with those generated during the observation of TV commercials that were quickly forgotten. High-resolution electroencephalogram (EEG) recordings were performed in a group of healthy subjects and the cortical activity during the observation of TV commercials was evaluated in several regions of interest coincident with the Brodmann areas (BAs). The patterns of cortical connectivity were obtained in the four principal frequency bands, Theta (3&amp;#...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=2102105</comments>
            <pubDate>Sun, 14 Dec 2008 05:00:00 +0100</pubDate>
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        <item>
            <title>Guest Editorial Neuroeconomics: A Neural Engineering Perspective</title>
            <link>http://www.medworm.com/index.php?rid=2102104&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4731271%26arnumber%3D4731272</link>
            <description>The five papers in this special section are devoted to the topic of neuroeconomics. (Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
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            <pubDate>Sun, 14 Dec 2008 05:00:00 +0100</pubDate>
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            <title>IEEE Transactions on Neural Systems and Rehabilitation Engineering publication information</title>
            <link>http://www.medworm.com/index.php?rid=2102103&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4731271%26arnumber%3D4747403</link>
            <description>(Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
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            <pubDate>Sun, 14 Dec 2008 05:00:00 +0100</pubDate>
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        <item>
            <title>Table of contents</title>
            <link>http://www.medworm.com/index.php?rid=1931040&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4666773%26arnumber%3D4666775</link>
            <description>(Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
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            <pubDate>Sat, 04 Oct 2008 04:00:00 +0100</pubDate>
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            <title>The 4th Internationl IEEE EMBS Conference on Neural Engineering</title>
            <link>http://www.medworm.com/index.php?rid=1931039&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4666773%26arnumber%3D4666774</link>
            <description>(Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
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            <pubDate>Sat, 04 Oct 2008 04:00:00 +0100</pubDate>
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        <item>
            <title>Performance Models for Automatic Evaluation of Virtual Scanning Keyboards</title>
            <link>http://www.medworm.com/index.php?rid=1931038&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4666773%26arnumber%3D4595651</link>
            <description>Virtual scanning keyboards are commonly used augmentative communication aids by persons with severe speech and motion impairments. Designers of virtual scanning keyboards face problems in evaluating alternate designs and hence in choosing the better design among alternatives. Automatic evaluation of designs will be helpful to designers in making the appropriate design choice. In this paper, we present performance models for virtual scanning keyboards that can be used for automatic evaluation. The proposed models address the limitations present in the reported work on similar models. We compared the model predictions with results from user trials and established the validity of the proposed models. (Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
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            <pubDate>Sat, 04 Oct 2008 04:00:00 +0100</pubDate>
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        <item>
            <title>A Means to Accommodate Residual Limb Movement During Optical Scanning: A Technical Note</title>
            <link>http://www.medworm.com/index.php?rid=1931037&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4666773%26arnumber%3D4595647</link>
            <description>A technique is described for correcting for subject movement while imaging the residual limb of a person with a transtibial amputation. Small reflective markers were placed on the residual limb, and then their motions tracked during scanning using two stationary cameras. The marker position measurements were used to generate appropriate translational and rotational transformation matrices so that limb motion could be corrected for during the 1.5-s scan interval. Evaluation tests showed good performance for moderate (2&amp;#x2013;4 mm) to high (5&amp;#x2013;8 mm) motion cases. The difference in mean absolute cross-sectional area between the test scan and a stationary reference scan was reduced by approximately one half when motion correction was used compared with when motion correction was not use...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=1931037</comments>
            <pubDate>Sat, 04 Oct 2008 04:00:00 +0100</pubDate>
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        <item>
            <title>A Magneto-Inductive Sensor Based Wireless Tongue-Computer Interface</title>
            <link>http://www.medworm.com/index.php?rid=1931036&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4666773%26arnumber%3D4595652</link>
            <description>We have developed a noninvasive, unobtrusive magnetic wireless tongue-computer interface, called &amp;#x201C;Tongue Drive,&amp;#x201D; to provide people with severe disabilities with flexible and effective computer access and environment control. A small permanent magnet secured on the tongue by implantation, piercing, or tissue adhesives, is utilized as a tracer to track the tongue movements. The magnetic field variations inside and around the mouth due to the tongue movements are detected by a pair of three-axial linear magneto-inductive sensor modules mounted bilaterally on a headset near the user's cheeks. After being wirelessly transmitted to a portable computer, the sensor output signals are processed by a differential field cancellation algorithm to eliminate the external magnetic field int...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=1931036</comments>
            <pubDate>Sat, 04 Oct 2008 04:00:00 +0100</pubDate>
            <guid isPermaLink="false">1931036</guid>        </item>
        <item>
            <title>Evaluation of Head Orientation and Neck Muscle EMG Signals as Command Inputs to a Human&amp;#x2013;Computer Interface for Individuals With High Tetraplegia</title>
            <link>http://www.medworm.com/index.php?rid=1931035&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4666773%26arnumber%3D4627455</link>
            <description>We investigated the performance of three user interfaces for restoration of cursor control in individuals with tetraplegia: head orientation, electromyography (EMG) from face and neck muscles, and a standard computer mouse (for comparison). Subjects engaged in a 2-D, center-out, Fitts' Law style task and performance was evaluated using several measures. Overall, head orientation commanded motion resembled mouse commanded cursor motion (smooth, accurate movements to all targets), although with somewhat lower performance. EMG commanded movements exhibited a higher average speed, but other performance measures were lower, particularly for diagonal targets. Compared to head orientation, EMG as a cursor command source was less accurate, was more affected by target direction and was more prone t...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=1931035</comments>
            <pubDate>Sat, 04 Oct 2008 04:00:00 +0100</pubDate>
            <guid isPermaLink="false">1931035</guid>        </item>
        <item>
            <title>Sensitivity of Accelerometry to Assess Balance Control During Sit-to-Stand Movement</title>
            <link>http://www.medworm.com/index.php?rid=1931034&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4666773%26arnumber%3D4595648</link>
            <description>Accelerometry has the potential to measure balance, defined as high-frequency body sway, ambulatorily in a simple and inexpensive way. The aim of this study was to determine and compare the sensitivity of accelerometric balance parameters during the sit-to-stand (STS) movement. Eleven healthy subjects (four males, $28.2 pm 7.9$ years) and 31 patients with stroke (21 males; $63.3pm 12.8$ years) were included. The healthy subjects performed STS movements in four conditions with different levels of difficulty. Data of the patients were compared 1) with healthy subjects, 2) between patient subgroups, and 3) between different phases of recovery to assess the sensitivity of accelerometry for differences in balance control. Accelerometers were attached to the trunk, and force plate measurements w...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=1931034</comments>
            <pubDate>Sat, 04 Oct 2008 04:00:00 +0100</pubDate>
            <guid isPermaLink="false">1931034</guid>        </item>
        <item>
            <title>Standing After Spinal Cord Injury With Four-Contact Nerve-Cuff Electrodes for Quadriceps Stimulation</title>
            <link>http://www.medworm.com/index.php?rid=1931033&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4666773%26arnumber%3D4595646</link>
            <description>This paper describes the performance of a 16-channel implanted neuroprosthesis for standing and transfers after spinal cord injury including four-contact nerve-cuff electrodes stimulating the femoral nerve for knee extension. Responses of the nerve-cuffs were stable and standing times increased by 600% over time-matched values with a similar eight-channel neuroprosthesis utilizing muscle-based electrodes on vastus lateralis for knee extension. (Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=1931033</comments>
            <pubDate>Sat, 04 Oct 2008 04:00:00 +0100</pubDate>
            <guid isPermaLink="false">1931033</guid>        </item>
        <item>
            <title>On the Use of Longitudinal Intrafascicular Peripheral Interfaces for the Control of Cybernetic Hand Prostheses in Amputees</title>
            <link>http://www.medworm.com/index.php?rid=1931032&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4666773%26arnumber%3D4633628</link>
            <description>Significant strides have been recently made to develop highly sensorized cybernetic prostheses aimed at restoring sensorimotor limb functions to those who have lost them because of a traumatic event (amputation). In these cases, one of the main goals is to create a bidirectional link between the artificial devices (e.g., robotic hands, arms, or legs) and the nervous system. Several human&amp;#x2013;machine interfaces (HMIs) are currently used to this aim. Among them, interfaces with the peripheral nervous system and in particular longitudinal intrafascicular electrodes can be a promising solution able to improve the current situation. In this paper, the potentials and limits of the use of this interface to control robotic devices are presented. Specific information is provided on: 1) the neuro...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=1931032</comments>
            <pubDate>Sat, 04 Oct 2008 04:00:00 +0100</pubDate>
            <guid isPermaLink="false">1931032</guid>        </item>
        <item>
            <title>Brain Network Analysis From High-Resolution EEG Recordings by the Application of Theoretical Graph Indexes</title>
            <link>http://www.medworm.com/index.php?rid=1931031&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4666773%26arnumber%3D4627452</link>
            <description>The extraction of the salient characteristics from brain connectivity patterns is an open challenging topic since often the estimated cerebral networks have a relative large size and complex structure. Since a graph is a mathematical representation of a network, which is essentially reduced to nodes and connections between them, the use of a theoretical graph approach would extract significant information from the functional brain networks estimated through different neuroimaging techniques. The present work intends to support the development of the &amp;#x201C;brain network analysis:&amp;#x201D; a mathematical tool consisting in a body of indexes based on the graph theory able to improve the comprehension of the complex interactions within the brain. In the present work, we applied for demonstrat...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=1931031</comments>
            <pubDate>Sat, 04 Oct 2008 04:00:00 +0100</pubDate>
            <guid isPermaLink="false">1931031</guid>        </item>
        <item>
            <title>Brain Activity-Based Image Classification From Rapid Serial Visual Presentation</title>
            <link>http://www.medworm.com/index.php?rid=1931030&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4666773%26arnumber%3D4595650</link>
            <description>We report the design and performance of a brain&amp;#x2013;computer interface (BCI) system for real-time single-trial binary classification of viewed images based on participant-specific dynamic brain response signatures in high-density (128-channel) electroencephalographic (EEG) data acquired during a rapid serial visual presentation (RSVP) task. Image clips were selected from a broad area image and presented in rapid succession (12/s) in 4.1-s bursts. Participants indicated by subsequent button press whether or not each burst of images included a target airplane feature. Image clip creation and search path selection were designed to maximize user comfort and maintain user awareness of spatial context. Independent component analysis (ICA) was used to extract a set of independent source time-c...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=1931030</comments>
            <pubDate>Sat, 04 Oct 2008 04:00:00 +0100</pubDate>
            <guid isPermaLink="false">1931030</guid>        </item>
        <item>
            <title>Cortical Imaging of Event-Related (de)Synchronization During Online Control of Brain-Computer Interface Using Minimum-Norm Estimates in Frequency Domain</title>
            <link>http://www.medworm.com/index.php?rid=1931029&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4666773%26arnumber%3D4595649</link>
            <description>It is of wide interest to study the brain activity that correlates to the control of brain&amp;#x2013;computer interface (BCI). In the present study, we have developed an approach to image the cortical rhythmic modulation associated with motor imagery using minimum-norm estimates in the frequency domain (MNEFD). The distribution of cortical sources of mu activity during online control of BCI was obtained with the MNEFD. Contralateral decrease (event-related desynchronization) and ipsilateral increase (event-related synchronization) are localized in the sensorimotor cortex during online control of BCI in a group of human subjects. Statistical source analysis revealed that maximum correlation with movement imagination is localized in sensorimotor cortex. (Source: IEE Transactions on Neural Syste...</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=1931029</comments>
            <pubDate>Sat, 04 Oct 2008 04:00:00 +0100</pubDate>
            <guid isPermaLink="false">1931029</guid>        </item>
        <item>
            <title>IEEE Transactions on Neural Systems and Rehabilitation Engineering publication information</title>
            <link>http://www.medworm.com/index.php?rid=1931028&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4666773%26arnumber%3D4666776</link>
            <description>(Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=1931028</comments>
            <pubDate>Sat, 04 Oct 2008 04:00:00 +0100</pubDate>
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        <item>
            <title>Front cover</title>
            <link>http://www.medworm.com/index.php?rid=1931027&amp;cid=s_37229_168_f&amp;fid=37229&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Fisnumber%3D4666773%26arnumber%3D4666778</link>
            <description>(Source: IEE Transactions on Neural Systems and Rehabilitation Engineering)</description>
            <author>IEE Transactions on Neural Systems and Rehabilitation Engineering</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=1931027</comments>
            <pubDate>Sat, 04 Oct 2008 04:00:00 +0100</pubDate>
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