首页 | 本学科首页   官方微博 | 高级检索  
     

基于平稳小波变换的心电信号噪声消除方法
引用本文:高清维,李海鹰,庄镇泉,王涛.基于平稳小波变换的心电信号噪声消除方法[J].电子学报,2003,31(2):238-240.
作者姓名:高清维  李海鹰  庄镇泉  王涛
作者单位:1. 中国科学技术大学电子科学与技术系,安徽合肥 230026;2. 安徽大学自动化系,安徽合肥 230039
基金项目:973国家重点基础研究发展规划项目 (No G1 9980 30 4 0 7),国家自然科学基金 (No 699750 0 1 )
摘    要:本文针对小波空间适应法在心电信号消噪中的缺陷,提出一种利用平稳小波变换(Stationary Wavelet Transform)的心电信号消噪方法,对受噪声污染的心电信号进行多层平稳小波变换,逐层估计平稳小波变换细节信号中噪声的均方差σj,选取各层阈值σj 2lnn (n为细节信号长度),对平稳小波变换的各层细节信号进行分别阈值处理,然后进行小波逆变换重建信号,以达到对信号消噪和恢复的目的.这种方法可以很好的抑制小波空间适应法消噪出现的Gibbs现象,较好地保持了心电信号的几何特征.

关 键 词:心电信号  平稳小波变换  消噪  
文章编号:0372-2112(2003)02-0238-03
收稿时间:2001-04-09

De-noising of ECG Signal Based on Stationary Wavelet Transform
GAO Qing wei ,LI Hai ying ,ZHUANG Zhen quan ,WANG Tao.De-noising of ECG Signal Based on Stationary Wavelet Transform[J].Acta Electronica Sinica,2003,31(2):238-240.
Authors:GAO Qing wei    LI Hai ying  ZHUANG Zhen quan  WANG Tao
Affiliation:1. Department of Electronic Science and Technology,University of Science and Technology of China,Hefei,Anhui 230026,China;2. Department of Automation,Anhui University,Hefei,Anhui 230039,China
Abstract:The artifacts of wavelet spatial adaptation de-noising method is discussed,and the stationary wavelet transform is proposed.Harr wavelet is selected to decompose the noisy ECG signal for several levels.The noise mean square σj is estimated by the stationary wavelet transform details at every level.The detail dj goes toward 0 by threshold σj 2lnn ,where n is length of the detail.The recovery signal is reconstructed and experimental result shows this de-noising method suppress Gibbs phenomena and reserves geometrical character of ECG signal.
Keywords:ECG  stationary wavelet transform  de  noising
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《电子学报》浏览原始摘要信息
点击此处可从《电子学报》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号