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

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.

Saravanan P and Sathish Kumar

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