Determining ECG characteristics using wavelet transforms

Determining ECG characteristics using wavelet transforms
Authors : B. Priyadarshini, R.K.Ranjan, Rajeev Arya
Publication Date: 30-08-2012


Author(s):  B. Priyadarshini, R.K.Ranjan, Rajeev Arya

Published in:   International Journal of Engineering Research & Technology

License:  This work is licensed under a Creative Commons Attribution 4.0 International License.

Website: www.ijert.org

Volume/Issue:   Vol.1 - Issue 6 (August- 2012)

e-ISSN:   2278-0181


Electro cardiogram by definition means °∆the recording of heart electrical activity°«. Electrocardiogram (ECGs) represents the electrical signature of the heart activities whose proper working is very important to the human body. An ECG wave is used to predict abnormalities by a careful study of the features. Delay in cardiac re-polarization causes ventricular tachyarrhythmia as well as Tor Sade de pointes (TdP) and irregular heart beat. A feature of TdP is pronounced prolongation of the QT interval in the supraventricular beat preceding the arrhythmia. TdP can degenerate into ventricular fibrillation, leading to sudden death. The RR interval represents the amount of time between heart beats. If a subject°«s heart rate is over 100 beats per minute they are said to be in sinus tachycardia. And below 100 beats per minute are said to in be sinus Brady cardiac. The present work compares ECG feature extraction system based on the multi-resolution wavelet transform with that of older time plane system. The feature extraction has been done by using Daubechies 4 & 6.


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