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Biomedical Engineering

This page shows you the most recent publications within this specialty of the MedWorm directory.

Improved Iterative Hard- and Soft-Reliability Based Majority-Logic Decoding Algorithms for Non-Binary Low-Density Parity-Check Codes
Non-binary low-density parity-check (LDPC) codes have some advantages over their binary counterparts, but unfortunately their decoding complexity is a significant challenge. The iterative hard- and soft-reliability based majority-logic decoding algorithms are attractive for nonbinary LDPC codes, since they involve only finite field additions and multiplications as well as integer operations and, hence, have significantly lower complexity than other algorithms. In this paper, we propose two improvements to the majority-logic decoding algorithms. Instead of the accumulation of reliability information in the existing majority...
Source: IEEE Transactions on Signal Processing - September 19, 2014 Category: Biomedical Engineering Source Type: research

On Prime Root-of-Unity Sequences With Perfect Periodic Correlation
In this paper, perfect root-of-unity sequences (PRUS) with entries in $alpha_p = {x in {BBC} ,vert, x^p =1}$ (where $p$ is a prime) are studied. A lower bound on the number of distinct phases that are used in PRUS over $alpha_p$ is derived. We show that PRUS of length $L geq p(p-1)$ must use all phases in $alpha_p$. Certain conditions on the lengths of PRUS are derived. Showing that the phase values of PRUS must follow a given difference multiset property, we derive a set of equations (which we call the principal equations) that give possible lengths of a PRUS over $alpha_p$ together with their phase distributions. The use...
Source: IEEE Transactions on Signal Processing - September 19, 2014 Category: Biomedical Engineering Source Type: research

A Comprehensive Approach to Universal Piecewise Nonlinear Regression Based on Trees
In this paper, we investigate adaptive nonlinear regression and introduce tree based piecewise linear regression algorithms that are highly efficient and provide significantly improved performance with guaranteed upper bounds in an individual sequence manner. We use a tree notion in order to partition the space of regressors in a nested structure. The introduced algorithms adapt not only their regression functions but also the complete tree structure while achieving the performance of the “best” linear mixture of a doubly exponential number of partitions, with a computational complexity only polynomial in the...
Source: IEEE Transactions on Signal Processing - September 19, 2014 Category: Biomedical Engineering Source Type: research

Proper Quaternion Gaussian Graphical Models
In this paper, we extend Gaussian graphical models to proper quaternion Gaussian distributions. The properness assumption reduces the number of unknowns by a factor of four while graphical models reduce the number of degrees of freedom via sparsity. Each of the methods allows accurate estimation using a small number of samples. To enjoy both gains, we show that the proper quaternion Gaussian inverse covariance estimation problem is convex and has a closed form solution. We proceed to demonstrate that the additional sparsity constraints on the inverse covariance matrix also lead to a convex problem, and the optimizations ca...
Source: IEEE Transactions on Signal Processing - September 19, 2014 Category: Biomedical Engineering Source Type: research

Table of Contents
(Source: IEEE Transactions on Signal Processing)
Source: IEEE Transactions on Signal Processing - September 19, 2014 Category: Biomedical Engineering Source Type: research

IEEE Transactions on Industrial Electronics publication information
(Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - September 19, 2014 Category: Biomedical Engineering Source Type: research

A Damper Driven Robotic End-Point Manipulator for Functional Rehabilitation Exercises After Stroke
Stroke survivors may benefit from robotic assistance for relearning of functional movements. Current assistive devices are either passive, limited to only two dimensions or very powerful. However, for reach training, weight compensation and a little assistance with limited power is sufficient. We designed and evaluated a novel three-dimensional robotic manipulator, which is able to support the arm weight and assist functional reaching movements. Key points of the design are a damper-based drive train, giving an inherently safe system and its compact and lightweight design. The system is force actuated with a bandwidth of u...
Source: IEEE Transactions on Biomedical Engineering - September 19, 2014 Category: Biomedical Engineering Source Type: research

Call for papers-IEEE Journal of Translational Engineering in Health and Medicine
(Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - September 19, 2014 Category: Biomedical Engineering Source Type: research

The IEEE Engineering in medicine and biology society mentor program
(Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - September 19, 2014 Category: Biomedical Engineering Source Type: research

IEEE Transactions on Biomedical Engineering information for authors
(Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - September 19, 2014 Category: Biomedical Engineering Source Type: research

Toward Long-Term and Accurate Augmented-Reality for Monocular Endoscopic Videos
By overlaying preoperative radiological 3-D models onto the intraoperative laparoscopic video, augmented-reality (AR) displays promise to increase surgeons’ visual awareness of high-risk surgical targets (e.g., the location of a tumor). Existing AR surgical systems lack in robustness and accuracy because of the many challenges in endoscopic imagery, such as frequent changes in illumination, rapid camera motions, prolonged organ occlusions, and tissue deformations. The frequent occurrence of these events can cause the loss of image (anchor) points, and thus, the loss of the AR display after a few frames. In this pape...
Source: IEEE Transactions on Biomedical Engineering - September 19, 2014 Category: Biomedical Engineering Source Type: research

Multiscale Registration of Real-Time and Prior MRI Data for Image-Guided Cardiac Interventions
Recently, there is a growing interest in using magnetic resonance imaging (MRI) to guide interventional procedures due to its excellent soft tissue contrast and lack of ionizing radiation compared to traditional radiographic guidance. One of these applications is the use of MRI to guide radio frequency ablation of anatomic substrates, within the left ventricle, responsible for ventricular tachycardia. However, different MRI acquisition schemes have significant tradeoffs between image quality and acquisition time. Guidance using high-quality preoperative 3-D MR images is limited in the case of cardiac interventions because ...
Source: IEEE Transactions on Biomedical Engineering - September 19, 2014 Category: Biomedical Engineering Source Type: research

Brain Tumor Segmentation Based on Local Independent Projection-Based Classification
In this study, 80 brain tumor MRI images with ground truth data are used as training data and 40 images without ground truth data are used as testing data. The segmentation results of testing data are evaluated by an online evaluation tool. The average dice similarities of the proposed method for segmenting complete tumor, tumor core, and contrast-enhancing tumor on real patient data are 0.84, 0.685, and 0.585, respectively. These results are comparable to other state-of-the-art methods. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - September 19, 2014 Category: Biomedical Engineering Source Type: research

Lag-Specific Transfer Entropy as a Tool to Assess Cardiovascular and Cardiorespiratory Information Transfer
This study presents an approach which evaluates direction, magnitude, and exact timing of the information transfer between two time series belonging to a multivariate dataset. The approach performs a decomposition of the well-known transfer entropy (TE) which achieves 1) identifying, according to a lag-specific information-theoretic formulation of the concept of Granger causality, the set of time lags associated with significant information transfer, and 2) assigning to these delays an amount of information transfer such that the total contribution yields the aggregate TE. The approach is first validated on realizations of...
Source: IEEE Transactions on Biomedical Engineering - September 19, 2014 Category: Biomedical Engineering Source Type: research

Automated Control of an Adaptive Bihormonal, Dual-Sensor Artificial Pancreas and Evaluation During Inpatient Studies
Automated control of blood glucose in patients with type-1 diabetes has not yet been fully implemented. The aim of this study was to design and clinically evaluate a system that integrates a control algorithm with off-the-shelf subcutaneous sensors and pumps to automate the delivery of the hormones glucagon and insulin in response to continuous glucose sensor measurements. The automated component of the system runs an adaptive proportional derivative control algorithm which determines hormone delivery rates based on the sensed glucose measurements and the meal announcements by the patient. We provide details about the syst...
Source: IEEE Transactions on Biomedical Engineering - September 19, 2014 Category: Biomedical Engineering Source Type: research

Methods for Characterizing Human Coronary Artery Deformation From Cardiac-Gated Computed Tomography Data
Accurate quantification of changes in length, curvature, and bifurcation angles of coronary arteries due to cardiac motion is important for the design of coronary stents. A new method is developed to describe the dynamic characteristics of the human coronary artery. From cardiac-gated computed tomography (CT) data, 3-D surface geometry and centerline paths of the coronary arteries were constructed. For quantification of strain and twisting deformation, 3-D distortion-free vessel straightening and landmark matching algorithms were developed to compute the relative translation and rotation of distal landmarks with respect to...
Source: IEEE Transactions on Biomedical Engineering - September 19, 2014 Category: Biomedical Engineering Source Type: research

Improvements in Remote Cardiopulmonary Measurement Using a Five Band Digital Camera
We present results of PPG measurements from a novel five band camera and show that alternate frequency bands, in particular an orange band, allowed physiological measurements much more highly correlated with an FDA approved contact PPG sensor. In a study with participants (n = 10) at rest and under stress, correlations of over 0.92 (p$,, <,,$ 0.01) were obtained for heart rate, breathing rate, and heart rate variability measurements. In addition, the remotely measured heart rate variability spectrograms closely matched those from the contact approach. The best results were obtained using a combination of cyan, gr...
Source: IEEE Transactions on Biomedical Engineering - September 19, 2014 Category: Biomedical Engineering Source Type: research

On the Effect of Muscular Cocontraction on the 3-D Human Arm Impedance
Humans have the inherent ability to perform highly dexterous tasks with their arms, involving maintenance of posture, movement, and interaction with the environment. The latter requires the human to control the dynamic characteristics of the upper limb musculoskeletal system. These characteristics are quantitatively represented by inertia, damping, and stiffness, which are measures of mechanical impedance. Many previous studies have shown that arm posture is a dominant factor in determining the end point impedance on a horizontal plane. This paper presents the characterization of the end point impedance of the human...
Source: IEEE Transactions on Biomedical Engineering - September 19, 2014 Category: Biomedical Engineering Source Type: research

Tackling Speaking Mode Varieties in EMG-Based Speech Recognition
An electromyographic (EMG) silent speech recognizer is a system that recognizes speech by capturing the electric potentials of the human articulatory muscles, thus enabling the user to communicate silently. After having established a baseline EMG-based continuous speech recognizer, in this paper, we investigate speaking mode variations, i.e., discrepancies between audible and silent speech that deteriorate recognition accuracy. We introduce multimode systems that allow seamless switching between audible and silent speech, investigate different measures which quantify speaking mode differences, and present the spectral mapp...
Source: IEEE Transactions on Biomedical Engineering - September 19, 2014 Category: Biomedical Engineering Source Type: research

PLUS: Open-Source Toolkit for Ultrasound-Guided Intervention Systems
The objective of our paper is to provide a freely available open-source software platform—PLUS: Public software Library for Ultrasound—to facilitate rapid prototyping of ultrasound-guided intervention systems for translational clinical research. PLUS provides a variety of methods for interventional tool pose and ultrasound image acquisition from a wide range of tracking and imaging devices, spatial and temporal calibration, volume reconstruction, simulated image generation, and recording and live streaming of the acquired data. This paper introduces PLUS, explains its functionality and architecture, and prese...
Source: IEEE Transactions on Biomedical Engineering - September 19, 2014 Category: Biomedical Engineering Source Type: research

A Knowledge-Based Modeling for Plantar Pressure Image Reconstruction
It is known that prolonged pressure on the plantar area is one of the main factors in developing foot ulcers. With current technology, electronic pressure monitoring systems can be placed as an insole into regular shoes to continuously monitor the plantar area and provide evidence on ulcer formation process as well as insight for proper orthotic footwear design. The reliability of these systems heavily depends on the spatial resolution of their sensor platforms. However, due to the cost and energy constraints, practical wireless in-shoe pressure monitoring systems have a limited number of sensors, i.e., typically $K<10$...
Source: IEEE Transactions on Biomedical Engineering - September 19, 2014 Category: Biomedical Engineering Source Type: research

Generation of the Probabilistic Template of Default Mode Network Derived from Resting-State fMRI
Default-mode network (DMN) has become a prominent network among all large-scale brain networks which can be derived from the resting-state fMRI (rs-fMRI) data. Statistical template labeling the common location of hubs in DMN is favorable in the identification of DMN from tens of components resulted from the independent component analysis (ICA). This paper proposed a novel iterative framework to generate a probabilistic DMN template from a coherent group of 40 healthy subjects. An initial template was visually selected from the independent components derived from group ICA analysis of the concatenated rs-fMRI data of all su...
Source: IEEE Transactions on Biomedical Engineering - September 19, 2014 Category: Biomedical Engineering Source Type: research

Front Cover
(Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - September 19, 2014 Category: Biomedical Engineering Source Type: research

IEEE Transactions on Biomedical Engineering publication information
(Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - September 19, 2014 Category: Biomedical Engineering Source Type: research

Table of Contents
(Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - September 19, 2014 Category: Biomedical Engineering Source Type: research

Noninvasive measurement of cardiac stroke volume using pulse wave velocity and aortic dimensions: a simulation study
Conclusions: Accurate estimates of cardiac stroke volume based on pulse wave velocity are theoretically possible and feasible. The precision of the method may be less than desired, owing to the dependence of the final result on the square of measured pulse wave velocity and the first power of ultrasonically measured aortic cross sectional area. However, classical formulas for propagation of random errors suggest that the method may still have sufficient precision for clinical applications. It remains as a challenge for experimentalists to explore further the potential of noninvasive measurement of stroke volume using pulse...
Source: BioMedical Engineering OnLine - September 19, 2014 Category: Biomedical Engineering Authors: Charles Babbs Source Type: research

Effect of intervertebral translational flexibilities on estimations of trunk muscle forces, kinematics, loads, and stability.
Abstract Due to the complexity of the human spinal motion segments, the intervertebral joints are often simulated in the musculoskeletal trunk models as pivots thus allowing no translational degrees of freedom (DOFs). This work aims to investigate, for the first time, the effect of such widely used assumption on trunk muscle forces, spinal loads, kinematics, and stability during a number of static activities. To address this, the shear deformable beam elements used in our nonlinear finite element (OFE) musculoskeletal model of the trunk were either substantially stiffened in translational directions (SFE model) or ...
Source: Computer Methods in Biomechanics and Biomedical Engineering - September 17, 2014 Category: Biomedical Engineering Authors: Ghezelbash F, Arjmand N, Shirazi-Adl A Tags: Comput Methods Biomech Biomed Engin Source Type: research