JDP_V1_N4_RP2 Lekram Bahekar Abhishek Misal Journal on Digital Signal Processing 2322–0368 1 4 8 13 PCG signal, Wavelet, Entropy, Segmentation, Recurrence Time Statistics The heart is one of the key organs of human bodies and each component of heart sounds reflects important information about the cardiac status. The wavelet shrinkage denosing method can effectively reduce the noise of non-stationary signal but preserve the local regularity and the generalization threshold function is build .We present a method for heart sound segmentation based on the signal’s simplicity and strength .The method has two phases the first phase identifies the timing of s1 and s2 sound limit using simplicity and strength in the wavelet domain. The second phase discripainates among the s1 and s2 using high frequency information. The pre-processing before calculating energy of PCG signal by wavelet ,segment the PCG signal, find different parameters for segmentation .This paper presents an analysis of haar wavelet segmentation of heart sound segmentation techniques and suggested performance measures. October - December 2013 Copyright © 2013 i-manager publications. All rights reserved. i-manager Publications http://www.imanagerpublications.com/Article.aspx?ArticleId=2595