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基于平稳小波变换心音信号阈值去噪的对比分析磁

高清河 刚晶 王和禹

计算机与数字工程Issue(6):957-959,3.
计算机与数字工程Issue(6):957-959,3.DOI:10.3969/j.issn1672-9722.2015.06.004

基于平稳小波变换心音信号阈值去噪的对比分析磁

Comparison and Analysis of Heart Sound Signal Threshold Denoising Based on Stationary Wavelet Transform

高清河 1刚晶 2王和禹1

作者信息

  • 1. 辽宁中医药大学信息工程学院 沈阳 110847
  • 2. 东北大学理学院 沈阳 110004
  • 折叠

摘要

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 .

关键词

心音信号/平稳小波变换/阈值函数/阈值/阈值去噪

Key words

heart sound signal/stationary wavelet transform/threshold function/threshold/threshold denoising

分类

医药卫生

引用本文复制引用

高清河,刚晶,王和禹..基于平稳小波变换心音信号阈值去噪的对比分析磁[J].计算机与数字工程,2015,(6):957-959,3.

基金项目

辽宁中医药大学非医药专业项目(编号601152)资助。 ()

计算机与数字工程

OACSTPCD

1672-9722

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