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

Multi-Agent Distributed Optimization via Inexact Consensus ADMM
Multi-agent distributed consensus optimization problems arise in many signal processing applications. Recently, the alternating direction method of multipliers (ADMM) has been used for solving this family of problems. ADMM based distributed optimization method is shown to have faster convergence rate compared with classic methods based on consensus subgradient, but can be computationally expensive, especially for problems with complicated structures or large dimensions. In this paper, we propose low-complexity algorithms that can reduce the overall computational cost of consensus ADMM by an order of magnitude for certain l...
Source: IEEE Transactions on Signal Processing - December 19, 2014 Category: Biomedical Engineering Source Type: research

Performance Analysis of Tyler's Covariance Estimator
This paper analyzes the performance of Tyler's M-estimator of the scatter matrix in elliptical populations. We focus on the non-asymptotic setting and derive estimation error bounds depending on the number of samples $n$ and the dimension $p$. We show that under mild conditions the squared Frobenius norm of the error of the inverse estimator decays like $p^{2}/n$ with high probability. (Source: IEEE Transactions on Signal Processing)
Source: IEEE Transactions on Signal Processing - December 19, 2014 Category: Biomedical Engineering Source Type: research

Maximum Likelihood SNR Estimation of Linearly-Modulated Signals Over Time-Varying Flat-Fading SIMO Channels
In this paper, we tackle for the first time the problem of maximum likelihood (ML) estimation of the signal-to-noise ratio (SNR) parameter over time-varying single-input multiple-output (SIMO) channels. Both the data-aided (DA) and the non-data-aided (NDA) schemes are investigated. Unlike classical techniques where the channel is assumed to be slowly time-varying and, therefore, considered as constant over the entire observation period, we address the more challenging problem of instantaneous (i.e., short-term or local) SNR estimation over fast time-varying channels. The channel variations are tracked locally using a polyn...
Source: IEEE Transactions on Signal Processing - December 19, 2014 Category: Biomedical Engineering Source Type: research

Nyquist Sampling Requirements for Polar Grids in Bistatic Time-Domain Algorithms
The paper presents a derivation of Nyquist sampling requirements for the polar grids in some bistatic time-domain algorithms. The derivation is based on an airborne bistatic system with general bistatic geometry. The Nyquist sampling requirements are shown to be the functions of operating radar frequency, transmitter and receiver subaperture lengths, and bistatic geometry. How to decide the Nyquist sampling requirements for different bistatic geometries and the relationship between the Nyquist sampling requirements in the monostatic and bistatic cases are also addressed in the paper. The derived Nyquist sampling requiremen...
Source: IEEE Transactions on Signal Processing - December 19, 2014 Category: Biomedical Engineering Source Type: research

Maximally Decimated Paraunitary Linear Phase FIR Filter Bank Design via Iterative SVD Approach
A necessary and sufficient condition for M-channel maximally decimated paraunitary FIR filter banks is derived when the lengths of all the filters are the same and they are integer multiples of M. Based on the derived condition, a family of this kind of filter banks is defined. These results are also applied to the corresponding linear phase filter banks. Then, the design of this type of filter banks with the linear phase property is formulated as two orthogonal Procrustes optimization problems. The analytical solution of each optimization problem is derived based on a singular value decomposition approach. Since no numeri...
Source: IEEE Transactions on Signal Processing - December 19, 2014 Category: Biomedical Engineering Source Type: research

Energy Detection Based Spectrum Sensing for Cognitive Radios Over Time-Frequency Doubly Selective Fading Channels
Cognitive radios may operate in practice under various adverse environments. For typical mobile and short-range scenarios, wireless links may tend to be time and frequency selective, i.e., the multipath propagations with time-varying fading coefficients will be inevitable. To cope with the encountered doubly-selective channels, in this paper we present a new spectrum sensing algorithm for distributed applications. First, a dynamic discrete state-space model is established to characterize sensing process, where the occupancy state of primary band and the time-varying multipath channel are treated as two hidden states, while...
Source: IEEE Transactions on Signal Processing - December 19, 2014 Category: Biomedical Engineering Source Type: research

Mentor Program
(Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - December 19, 2014 Category: Biomedical Engineering Source Type: research

EMBS career center
(Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - December 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 - December 19, 2014 Category: Biomedical Engineering Source Type: research

IEEE Transactions on Biomedical Engineering Handling Editors
(Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - December 19, 2014 Category: Biomedical Engineering Source Type: research

Uncertainty Quantification in Transcranial Magnetic Stimulation via High-Dimensional Model Representation
A computational framework for uncertainty quantification in transcranial magnetic stimulation (TMS) is presented. The framework leverages high-dimensional model representations (HDMRs), which approximate observables (i.e., quantities of interest such as electric (E) fields induced inside targeted cortical regions) via series of iteratively constructed component functions involving only the most significant random variables (i.e., parameters that characterize the uncertainty in a TMS setup such as the position and orientation of TMS coils, as well as the size, shape, and conductivity of the head tissue). The component funct...
Source: IEEE Transactions on Biomedical Engineering - December 19, 2014 Category: Biomedical Engineering Source Type: research

Automated Romberg Testing in Patients With Benign Paroxysmal Positional Vertigo and Healthy Subjects
Conclusion and significance: Our findings confirm the typical clinical observation of a further posttreatment deterioration of already impaired postural performance in BPPV patients. While the etiology and the time course of this peculiar problem warrants further studies, the treating physician should be familiar with this transient side ef- ect of therapeutic maneuvers to provide adequate counseling of patients. Finally, we successfully demonstrated the pressure-sensitive electronic soles as a new and potentially useful tool for both clinical and research purposes. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - December 19, 2014 Category: Biomedical Engineering Source Type: research

Automatic Segmentation of Trophectoderm in Microscopic Images of Human Blastocysts
In this study, we propose a fully automatic method for segmentation and measurement of TE region of blastocysts (day-5 human embryos). Here, we eliminate the inhomogeneities of the blastocysts surface using the Retinex theory and further apply a level-set algorithm to segment the TE regions. We have tested our method on a dataset of 85 images and have been able to achieve a segmentation accuracy of 84.6% for grade A, 89.0% for grade B, and 91.7% for grade C embryos. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - December 19, 2014 Category: Biomedical Engineering Source Type: research

EMBC 2015 Milano
(Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - December 19, 2014 Category: Biomedical Engineering Source Type: research

Saturation of the Right-Leg Drive Amplifier in Low-Voltage ECG Monitors
In this study, we describe a previously unreported phenomenon in which ECG noise can result from an unintended interaction between two systems: 1) the dc lead-off circuitry that is used to detect whether electrodes fall off the patient; and 2) the right-leg drive (RLD) system that is responsible for reducing ac common-mode noise that couples into the body. Using a circuit model to study this interaction, we found that in the presence of a dc lead-off system, even moderate increases in the right-leg skin–electrode resistance can cause the RLD amplifier to saturate. Such saturation can produce ECG noise because the RL...
Source: IEEE Transactions on Biomedical Engineering - December 19, 2014 Category: Biomedical Engineering Source Type: research

Ideal Time–Frequency Masking Algorithms Lead to Different Speech Intelligibility and Quality in Normal-Hearing and Cochlear Implant Listeners
In this study, both approaches for SI and quality enhancement were compared. The investigations were conducted in normal-hearing (NH) subjects listening to noise vocoder CI simulations and in CI users. The potential for SI improvement was assessed in a sentence recognition task with ideal mask estimates in multitalker babble and with an interfering talker. The robustness of the approaches was evaluated with simulated estimation errors. CI users assessed the speech quality in a preference rating. The IWF outperformed the IBM in NH listeners. In contrast, no significant difference was obtained in CI users. Estimation errors ...
Source: IEEE Transactions on Biomedical Engineering - December 19, 2014 Category: Biomedical Engineering Source Type: research

Information-Transmission Rates in Manual Control of Unstable Systems With Time Delays
In analyzing the human–machine interaction (HMI), a human-centered approach is needed to address the potential and limitation of human control, especially in the control of high-order or unstable systems. However, there is no quantitative measure of the human performance or cognitive workload in these difficult HMI tasks. We propose to characterize the HMI as information flows quantified by the information-transmission rate in bits per second (b/s). Using information- and control-theoretic approaches, we derive the minimum rates of information transmission in manual control required by any deterministic controller t...
Source: IEEE Transactions on Biomedical Engineering - December 19, 2014 Category: Biomedical Engineering Source Type: research

OdoCapsule: Next-Generation Wireless Capsule Endoscopy With Accurate Lesion Localization and Video Stabilization Capabilities
In this paper, we propose a platform to achieve accurate localization of small-bowel lesions and endoscopic video stabilization in wireless capsule endoscopy. Current research modules rely on the use of external magnetic fields and triangulation methods to calculate the position vector of the capsule, leading to considerable error margins. Our platform, entitled OdoCapsule (a synthesis of the words Odometer and Capsule), provides real-time distance information from the point of duodenal entry to the point of exit from the small bowel. To achieve this, OdoCapsule is equipped with three miniature legs. Each leg carries a sof...
Source: IEEE Transactions on Biomedical Engineering - December 19, 2014 Category: Biomedical Engineering Source Type: research

Active Contour-Based Cell Segmentation During Freezing and Its Application in Cryopreservation
Water permeability of the plasma membrane plays an important role in making optimal cryopreservation protocols for different types of cells. To quantify water permeability effectively, automated cell volume segmentation during freezing is necessary. Unfortunately, there exists so far no efficient and accurate segmentation method to handle this kind of image processing task gracefully. The existence of extracellular ice and variable background present significant challenges for most traditional segmentation algorithms. In this paper, we propose a novel approach to reliably extract cells from the extracellular ice, which att...
Source: IEEE Transactions on Biomedical Engineering - December 19, 2014 Category: Biomedical Engineering Source Type: research

Reconstruction of Instantaneous Phase of Unipolar Atrial Contact Electrogram Using a Concept of Sinusoidal Recomposition and Hilbert Transform
The Hilbert transform has been used to characterize wave propagation and detect phase singularities during cardiac fibrillation. Two mapping modalities have been used: optical mapping (used to map atria and ventricles) and contact electrode mapping (used only to map ventricles). Due to specific morphology of atrial electrograms, phase reconstruction of contact electrograms in the atria is challenging and has not been investigated in detail. Here, we explore the properties of Hilbert transform applied to unipolar epicardial electrograms and devise a method for robust phase reconstruction using the Hilbert transform. We appl...
Source: IEEE Transactions on Biomedical Engineering - December 19, 2014 Category: Biomedical Engineering Source Type: research

A Novel Scheme for Nanoparticle Steering in Blood Vessels Using a Functionalized Magnetic Field
Magnetic drug targeting is a drug delivery approach in which therapeutic magnetizable particles are injected, generally into blood vessels, and magnets are then used to guide and concentrate them in the diseased target organ. Although many analytical, simulation, and experimental studies on capturing schemes for drug targeting have been conducted, there are few studies on delivering the nanoparticles to the target region. Furthermore, the sticking phenomenon of particles to vessels walls near the injection point, and far from the target region, has not been addressed sufficiently. In this paper, the sticking issue and its ...
Source: IEEE Transactions on Biomedical Engineering - December 19, 2014 Category: Biomedical Engineering Source Type: research

Multitask Gaussian Processes for Multivariate Physiological Time-Series Analysis
Gaussian process (GP) models are a flexible means of performing nonparametric Bayesian regression. However, GP models in healthcare are often only used to model a single univariate output time series, denoted as single-task GPs (STGP). Due to an increasing prevalence of sensors in healthcare settings, there is an urgent need for robust multivariate time-series tools. Here, we propose a method using multitask GPs (MTGPs) which can model multiple correlated multivariate physiological time series simultaneously. The flexible MTGP framework can learn the correlation between multiple signals even though they might be sampled at...
Source: IEEE Transactions on Biomedical Engineering - December 19, 2014 Category: Biomedical Engineering Source Type: research

Motion Artifacts in Capacitive ECG Measurements: Reducing the Combined Effect of DC Voltages and Capacitance Changes Using an Injection Signal
Capacitive electrodes are a promising alternative to the conventional adhesive electrodes for ECG measurements. They provide more comfort to the patient when integrated in everyday objects (e.g., beds or seats) for long-term monitoring. However, the application of capacitive sensors is limited by their high sensitivity to motion artifacts. For example, motion at the body–electrode interface causes variations of the coupling capacitance which, in the presence of a dc voltage across the coupling capacitor, create strong artifacts in the measurements. The origin, relevance, and reduction of this specific and important ...
Source: IEEE Transactions on Biomedical Engineering - December 19, 2014 Category: Biomedical Engineering Source Type: research

Four-Class Classification of Skin Lesions With Task Decomposition Strategy
This paper proposes a new computer-aided method for the skin lesion classification applicable to both melanocytic skin lesions (MSLs) and nonmelanocytic skin lesions (NoMSLs). The computer-aided skin lesion classification has drawn attention as an aid for detection of skin cancers. Several researchers have developed methods to distinguish between melanoma and nevus, which are both categorized as MSL. However, most of these studies did not focus on NoMSLs such as basal cell carcinoma (BCC), the most common skin cancer and seborrheic keratosis (SK) despite their high incidence rates. It is preferable to deal with these NoMSL...
Source: IEEE Transactions on Biomedical Engineering - December 19, 2014 Category: Biomedical Engineering Source Type: research

Simultaneously Optimizing Spatial Spectral Features Based on Mutual Information for EEG Classification
High performance of the brain–computer interface (BCI) needs efficient algorithms to extract discriminative features from raw electroencephalography (EEG) signals. In this paper, we present a novel scheme to extract spatial spectral features for the motor imagery-based BCI. The learning task is formulated by maximizing the mutual information between spatial spectral features (MMISS) and class labels, by which a unique objective function directly related to Bayes classification error is optimized. The spatial spectral features are assumed to follow a parametric Gaussian distribution, which has been validated by the n...
Source: IEEE Transactions on Biomedical Engineering - December 19, 2014 Category: Biomedical Engineering Source Type: research

Ultrasound Current Source Density Imaging of the Cardiac Activation Wave Using a Clinical Cardiac Catheter
This study demonstrated that UCSDI is potentially capable of real-time 3-D cardiac activation wave mapping, which would greatly facilitate ablation procedures for treatment of arrhythmias. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - December 19, 2014 Category: Biomedical Engineering Source Type: research

Novel Active Comb-Shaped Dry Electrode for EEG Measurement in Hairy Site
In this study, a novel active comb-shaped dry electrode was proposed to measure EEG in hairy site. Different form other comb-shaped or spike-shaped dry electrodes, it can provide more excellent performance of avoiding the signal attenuation, phase distortion, and the reduction of common mode rejection ratio. Even under walking motion, it can effectively acquire EEG in hairy site. Finally, the experiments for alpha rhythm and steady-state visually evoked potential were also tested to validate the proposed electrode. (Source: IEEE Transactions on Biomedical Engineering)
Source: IEEE Transactions on Biomedical Engineering - December 19, 2014 Category: Biomedical Engineering Source Type: research

A Clinically Applicable Stochastic Approach for Noninvasive Estimation of Aortic Stiffness Using Computed Tomography Data
The degeneration of the vascular wall tissue induces a change of the arterial stiffness, i.e., the capability of the vessel to distend under the pulsatile hemodynamic load. In the literature, the aortic stiffness is usually computed following a simple deterministic approach, in which only the maximum and the minimum values of arterial diameter and blood pressure over the cardiac cycle are considered. In this paper, we propose a stochastic approach to assess the stiffness, and its spatial variation, of a given aortic region exploiting patient-specific geometrical data derived from computed tomography angiography (CTA). In p...
Source: IEEE Transactions on Biomedical Engineering - December 19, 2014 Category: Biomedical Engineering Source Type: research