alexa Analysis of Biological Signals Using Wavelet Coefficients for Finding the Cardiac Diseases and Their Severity
ISSN: 2319-9865

Research & Reviews: Journal of Medical and Health Sciences
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Short Communication

Analysis of Biological Signals Using Wavelet Coefficients for Finding the Cardiac Diseases and Their Severity

Saravanan P1 and Sathish Kumar S2*

1Department of Biotechnology, St. Joseph’s College (Autonomous), Trichy- 2, Tamil Nadu, India.

2Department of Botany, St. Joseph’s College (Autonomous), Trichy- 2, Tamil Nadu, India.

*Corresponding Author:
Sathish Kumar S
Department of Botany
St. Joseph’s College (Autonomous)
Trichy- 2, Tamil Nadu, India
Email: [email protected]

Received: 29/12/2012 Accepted: 15/02/2013

 

Abstract

This study deals with feature extraction of Bio Medical signals using the continuous wavelet transform CWT and corresponding coefficients. The signal features are analyzed, in various points of time and at different localization levels with multiple scales of the cwt. The digital data were collected using the electrocardiogram for finding the heart disease considering data sets of twenty different disease cases using mat lab. The ECG data was filtered for hum noise and muscle noise, using a series of filters and applied the zero cross algorithm for finding the no of zero crossings and the heart rate of each disease case.

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