scispace - formally typeset
Open Access

Bioelectrical Signal Processing In Cardiac And Neurological Applications

TLDR
This bioelectrical signal processing in cardiac and neurological applications helps people to face with some infectious bugs inside their computer, instead of enjoying a good book with a cup of tea in the afternoon.
Abstract
Thank you for downloading bioelectrical signal processing in cardiac and neurological applications. Maybe you have knowledge that, people have search hundreds times for their chosen books like this bioelectrical signal processing in cardiac and neurological applications, but end up in malicious downloads. Rather than enjoying a good book with a cup of tea in the afternoon, instead they are facing with some infectious bugs inside their computer.

read more

Content maybe subject to copyright    Report

Citations
More filters
Journal ArticleDOI

Low-complexity detection of atrial fibrillation in continuous long-term monitoring

TL;DR: An atrial fibrillation detector whose structure is well-adapted both for detection of subclinical AF episodes and for implementation in a battery-powered device for use in continuous long-term monitoring applications, with high sensitivity and specificity.
Journal ArticleDOI

Automated biosignal quality analysis for electromyography using a one-class support vector machine

TL;DR: This paper presents a top-down approach using a one-class support vector machine (SVM) trained on clean EMG and tested on artificially contaminated EMG, which is successful in detecting problems due to single contaminants but is generic to all forms of contamination in EMG.
Journal ArticleDOI

Bio-signal based control in assistive robots: a survey

TL;DR: The techniques used for collecting EMG and EEG signals and diving these signals into segments into segments are described, as well as some research challenges in the creation of these control systems.
Journal ArticleDOI

Biometric Authentication Using Noisy Electrocardiograms Acquired by Mobile Sensors

TL;DR: A cascading bandpass filter for noise cancellation and a radial basis function kernel-based support vector machine shows the best performance among nine classifiers through experimental comparisons for classification-based authentication are designed.
Journal ArticleDOI

Automated estimation of choroidal thickness distribution and volume based on OCT images of posterior visual section.

TL;DR: This work measures the structural dissimilarity between choroid and sclera by structural similarity (SSIM) index, and hence estimates the COB by thresholding, and achieves smooth COB estimates, mimicking manual delineation, using tensor voting.
References
More filters
Journal ArticleDOI

Low-complexity detection of atrial fibrillation in continuous long-term monitoring

TL;DR: An atrial fibrillation detector whose structure is well-adapted both for detection of subclinical AF episodes and for implementation in a battery-powered device for use in continuous long-term monitoring applications, with high sensitivity and specificity.
Journal ArticleDOI

Automated biosignal quality analysis for electromyography using a one-class support vector machine

TL;DR: This paper presents a top-down approach using a one-class support vector machine (SVM) trained on clean EMG and tested on artificially contaminated EMG, which is successful in detecting problems due to single contaminants but is generic to all forms of contamination in EMG.
Journal ArticleDOI

Bio-signal based control in assistive robots: a survey

TL;DR: The techniques used for collecting EMG and EEG signals and diving these signals into segments into segments are described, as well as some research challenges in the creation of these control systems.
Journal ArticleDOI

Biometric Authentication Using Noisy Electrocardiograms Acquired by Mobile Sensors

TL;DR: A cascading bandpass filter for noise cancellation and a radial basis function kernel-based support vector machine shows the best performance among nine classifiers through experimental comparisons for classification-based authentication are designed.
Journal ArticleDOI

On Evaluating ECG Biometric Systems: Session-Dependence and Body Posture

TL;DR: This paper presents the UofT ECG database and offers a comprehensive analysis of the underlying interindividual variability under a number of conditions, such as body posture, physical activity, and time lapse and a method based on template fusion is proposed to address these shortcomings.