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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
Sneha Mittal
Nirmal Singh Grewal

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

	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}


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.


  • 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.