Performance analysis of HAAR wavelets for segmentation of heart sound

Lekram Premlal Bahekar*, Abhishek Misal**
* Assistant Professor and Research Scholar, Department of Electronics & Telecommunication Engineering, ChhatrapatiShivaji Institute of Technology, Durg, India.
** Sr. Assistant Professor and Research Scholar, Department of Electronics & Telecommunication Engineering, ChhatrapatiShivaji Institute of Technology, Durg, India.
Periodicity:October - December'2013
DOI : https://doi.org/10.26634/jdp.1.4.2595

Abstract

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.

Keywords

signal, Wavelet, Entropy, Segmentation, Recurrence Time Statistics

How to Cite this Article?

Bahekar,L., and Misal,A. (2013). Performance Analysis Of HAAR Wavelets For Segmentation Of Heart Sound. i-manager’s Journal on Digital Signal Processing, 1(4), 8-13. https://doi.org/10.26634/jdp.1.4.2595

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