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Stress Quantification using Fuzzy Analysis of ECG Parameters
International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 99 - Number 9
Year of Publication: 2014
|
10.5120/17403-7968 |
Sneha Mittal and Nirmal Singh Grewal. Article: Stress Quantification using Fuzzy Analysis of ECG Parameters. International Journal of Computer Applications 99(9):24-27, August 2014. Full text available. BibTeX
@article{key:article,
author = {Sneha Mittal and Nirmal Singh Grewal},
title = {Article: Stress Quantification using Fuzzy Analysis of ECG Parameters},
journal = {International Journal of Computer Applications},
year = {2014},
volume = {99},
number = {9},
pages = {24-27},
month = {August},
note = {Full text available}
}
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.
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