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Stress Quantification using Fuzzy Analysis of ECG Parameters

by Sneha Mittal, Nirmal Singh Grewal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 99 - Number 9
Year of Publication: 2014
Authors: Sneha Mittal, Nirmal Singh Grewal
10.5120/17403-7968

Sneha Mittal, Nirmal Singh Grewal . Stress Quantification using Fuzzy Analysis of ECG Parameters. International Journal of Computer Applications. 99, 9 ( August 2014), 24-27. DOI=10.5120/17403-7968

@article{ 10.5120/17403-7968,
author = { Sneha Mittal, Nirmal Singh Grewal },
title = { Stress Quantification using Fuzzy Analysis of ECG Parameters },
journal = { International Journal of Computer Applications },
issue_date = { August 2014 },
volume = { 99 },
number = { 9 },
month = { August },
year = { 2014 },
issn = { 0975-8887 },
pages = { 24-27 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume99/number9/17403-7968/ },
doi = { 10.5120/17403-7968 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:27:46.857863+05:30
%A Sneha Mittal
%A Nirmal Singh Grewal
%T Stress Quantification using Fuzzy Analysis of ECG Parameters
%J International Journal of Computer Applications
%@ 0975-8887
%V 99
%N 9
%P 24-27
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Mental stress quantification using fuzzy analysis of ecg parameters is presented here. ECG signal is decomposed using the BIOR-3. 9 wavelet family upto three levels. The approximates signals are used for computation ecg parameters like energy, entropy, power, standard deviation, mean and covariance. A fuzzy classifier is designed using trimf function as associate membership in fuzzy analysis. The ecg data base is taken from MIT data base web site.

References
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Index Terms

Computer Science
Information Sciences

Keywords

ECG BIOR-3. 9 wavelet Entropy Energy Power Standard Deviation Covariance Fuzzy Logic Mental Stress

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