Research Article
Stress Quantification using Fuzzy Analysis of ECG Parameters
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 99 - Issue 9 |
| Published: August 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 },
year = { 2014 },
volume = { 99 },
number = { 9 },
pages = { 24-27 },
doi = { 10.5120/17403-7968 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2014
%A Sneha Mittal
%A Nirmal Singh Grewal
%T Stress Quantification using Fuzzy Analysis of ECG Parameters%T
%J International Journal of Computer Applications
%V 99
%N 9
%P 24-27
%R 10.5120/17403-7968
%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
- Zhilin Zhang_, Student Member, IEEE, Tzyy-Ping Jung, "Compressed Sensing for Energy-Efficient Wireless Telemonitoring of Non-Invasive Fetal ECG via Block Sparse Bayesian Learning", ACCEPTED BY IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2012
- Fahimeh Ansari-Ram, Saied Hosseini-Khayat, "ECG Signal Compression Using Compressed Sensing with Nonuniform Binary Matrices", 978-1-4673-1479-4/12/$31. 00 ©2012 IEEE
- M. Sharafat Hossain , "ECG Signal Compression using Energy Compaction Based Thresholding of the Wavelet Coefficients", DUET Journal Vol. 1, Issue 2, June 2011.
- Bong Siao Zheng, M Murugappan and Sazali Yaacob, "FCM Clustering of Emotional Stress using ECG Features", International conference on Communication and Signal Processing, April 3-5, 2013, India.
- Mohammad Reza Homaeinezhad1, 2 , Ehsan Tavakkoli1,2 , Ali Ghaffari, "Discrete Wavelet-based Fuzzy Network Architecture for ECG Rhythm-Type Recognition: Feature Extraction and Clustering- Oriented Tuning of Fuzzy Inference System" , International Journal of Signal Processing, Image Processing and Pattern Recognition Vol. 4, No. 3, September, 2011.
- Mohit Kumar, Matthias Weippert, Reinhard Vilbrandt, Steffi Kreuzfeld, and Regina Stoll, "Fuzzy Evaluation of Heart Rate Signals for Mental Stress Assessment" , IEEE TRANSACTIONS ON FUZZY SYSTEMS, VOL. 15, NO. 5, OCTOBER 2007.
- G. Ranganathan, V. Bindhu, Dr. R. Rangarajan, s "ECG Signal Processing using Dyadic wavelet for Mental Stress Assessment", 978-1-4244-4713-8/10/$25. 00 ©2010 IEEE.
- C. Saritha, V. Sukanya, Y. Narasimha Murthy, "ECG Signal Analysis Using Wavelet Transforms", Bulg. J. Phys. 35 (2008) 68–77. Prof, Shamla Mantri, Dr. Pankaj Agrawal, Prof. Dipti Patil, Dr. V. M. Wadhai
- "Depression Analysis using ECG Signal", ISSN 2277-3061, N o v 1 0 , 2 0 1 3.
Index Terms
Keywords