Comparison and Analysis of Heart Sound Signal Threshold Denoising Based on Stationary Wavelet Transform
GAO Qinghe
GANG Jing
WANG Heyu
Abstract:To remove three kinds of noise in heart sound signal including environmental noise、powerline interference and electromyographical interference and obtain the optimal denoising method of heart sounds ,based on stationary wavelet transform ,heart sound signal is decomposed into three layers using db5 wavelet .Hard threshold function and soft threshold function are applied to high frequency coefficients respectively .Then ,the comparison and analysis of denoising effect are car‐ried by Sqtwolog , Rigrsure , Heursure , Minimaxi , Penalizd high , Penalizd medium and Penalizd low threshold . Hard threshold denoising effect is better than the soft threshold and the Rigrsur threshold method is the best in all the thresholds . Rigrsur threshold method based on stationary wavelet transform can achieve good denoising effect and effectively remove vari‐ety of noise of heart sound signal .
Keywords:heart sound signalstationary wavelet transformthreshold functionthresholdthreshold denoising
Publication Date:2015-01-01
Online Publishing Date:2025-08-15(First online date of this platform, not the publication date of the document)
Pages:3( 957-959 )
