Pathological recognition of difference between phonocardiogram signals of similarly morphology using the wavelet transform(<Special Issue>Contribution to 21 Century Intelligent Technologies and Bioinformatics)

Abstract

The objective of this paper is to find an efficient method to diagnose the heart diseases from their heart sounds. By using the discrete wavelet transform (DWT) the PCG signal is decomposed into seven stages. The average standard deviation of the detailed coefficients at each stage is calculated for each signal. The slopes of the curves for each case are obtained by plotting the average standard deviation of the detailed coefficients at each level detail. The results allow us to find the difference between the PCG signals of similarly morphology.