Electrocardiogram (ECG) Signal Analysis and Feature Extraction: A Survey

Authors

  • Priyarani S Jagatap Department of E & TC, Annasaheb Dange College of Engineering & Technology, Ashta, India
  • Rupali R Jagtap Department of E & TC, Annasaheb Dange College of Engineering & Technology, Ashta, India

Keywords:

Electrocardiogram, DWT, WT, Fuzzy Logic Method

Abstract

ECG Signal plays an important role in the primary diagnosis, prognosis and survival analysis of heart diseases. ECG feature extraction plays an important role in the cardiac diseases. One cardiac cycle in an ECG signal consist of the P-QRS-T waves. It has amplitude and interval value which determines the functioning of heart of every human. ECG measures the rate and regularity of heartbeat. It displays the electrical activity of the heart in form of wave line on the paper. The ECG Signal is conducted with the data compression and reconstruction. Today so many research and techniques have been developed for analyzing the ECG signal. The information will then analyzed and classified on basis of compression method, fuzzy logic, etc.

References

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Published

2014-05-31

How to Cite

[1]
P. S. Jagatap and R. R. Jagtap, “Electrocardiogram (ECG) Signal Analysis and Feature Extraction: A Survey”, Int. J. Comp. Sci. Eng., vol. 2, no. 5, pp. 1–3, May 2014.

Issue

Vol. 2 No. 5 (2014): IJCSE May Edition

Section

Survey Article

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