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Reseach Article

Quantification of EMG Signal for Foot Flexion using Frequency Domain Anaysis

Published on December 2016 by Neha Hooda, Chandni Ahuja, Ratan Das, Neelesh Kumar
National Symposium on Modern Information and Communication Technologies for Digital India
Foundation of Computer Science USA
MICTDI2016 - Number 3
December 2016
Authors: Neha Hooda, Chandni Ahuja, Ratan Das, Neelesh Kumar
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Neha Hooda, Chandni Ahuja, Ratan Das, Neelesh Kumar . Quantification of EMG Signal for Foot Flexion using Frequency Domain Anaysis. National Symposium on Modern Information and Communication Technologies for Digital India. MICTDI2016, 3 (December 2016), 5-8.

@article{
author = { Neha Hooda, Chandni Ahuja, Ratan Das, Neelesh Kumar },
title = { Quantification of EMG Signal for Foot Flexion using Frequency Domain Anaysis },
journal = { National Symposium on Modern Information and Communication Technologies for Digital India },
issue_date = { December 2016 },
volume = { MICTDI2016 },
number = { 3 },
month = { December },
year = { 2016 },
issn = 0975-8887,
pages = { 5-8 },
numpages = 4,
url = { /proceedings/mictdi2016/number3/26559-1621/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Symposium on Modern Information and Communication Technologies for Digital India
%A Neha Hooda
%A Chandni Ahuja
%A Ratan Das
%A Neelesh Kumar
%T Quantification of EMG Signal for Foot Flexion using Frequency Domain Anaysis
%J National Symposium on Modern Information and Communication Technologies for Digital India
%@ 0975-8887
%V MICTDI2016
%N 3
%P 5-8
%D 2016
%I International Journal of Computer Applications
Abstract

There are several methods available for EMG(Electromyography) based user intent detection, wherein muscle activation has been recognized by different approaches. Even thoughEMG detection and processing has been done by many other researchers, need of improved model is still rising. The notion of this study is to propound a novel approach whereby quantification of EMG signal for foot flexion can be done. Signal processing and data analysis, played substantial role in that, thus present study had used contemporary frequency analysis methodology. The Biopac's software tool, Acqknowledge, was explored for the purpose and the results obtained were quite precise. Further to increase its reliability, analysis was performed over data samples of more than 10 subjects.

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Index Terms

Computer Science
Information Sciences

Keywords

Emg(electromyography) Frequency Analysis Foot Flexion Mean Frequency Muscle Activation.