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Reseach Article

Classification of Normal and Myopathy EMG Signals using BP Neural Network

by Mukesh Patidar, Nitin Jain, Ashish Parikh
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 69 - Number 8
Year of Publication: 2013
Authors: Mukesh Patidar, Nitin Jain, Ashish Parikh
10.5120/11861-7645

Mukesh Patidar, Nitin Jain, Ashish Parikh . Classification of Normal and Myopathy EMG Signals using BP Neural Network. International Journal of Computer Applications. 69, 8 ( May 2013), 12-16. DOI=10.5120/11861-7645

@article{ 10.5120/11861-7645,
author = { Mukesh Patidar, Nitin Jain, Ashish Parikh },
title = { Classification of Normal and Myopathy EMG Signals using BP Neural Network },
journal = { International Journal of Computer Applications },
issue_date = { May 2013 },
volume = { 69 },
number = { 8 },
month = { May },
year = { 2013 },
issn = { 0975-8887 },
pages = { 12-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume69/number8/11861-7645/ },
doi = { 10.5120/11861-7645 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:29:40.164008+05:30
%A Mukesh Patidar
%A Nitin Jain
%A Ashish Parikh
%T Classification of Normal and Myopathy EMG Signals using BP Neural Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 69
%N 8
%P 12-16
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Electromyography (EMG) signal is the muscle electrical activity. Electromyography is a technique for detecting and recording the electrical potential generated by muscle cells. This EMG signals are used in medical professionals to determine specific disorders. This paper basically deals with the analysis of different electromyography signals (NOR & MYO). In this paper, new method for classification of myopathy patient's and healthy subjects with the help of EMG signal by using back propagation neural network classifier are proposed. This methodology provided 96. 75 % accuracy in classification of Myopathy and normal EMG signals.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Electromyography Backpropagation neural network Myopathy