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基于小波变换的心电信号去噪算法
引用本文:赵晴,赵捷,魏珑.基于小波变换的心电信号去噪算法[J].现代生物医学进展,2007,7(10):1566-1568.
作者姓名:赵晴  赵捷  魏珑
作者单位:山东师范大学物理与电子科学学院信号与信息处理实验室,济南,250014
基金项目:致谢:忠心感谢赵捷老师的悉心指导、感谢毕以峰等同学的热情帮助.
摘    要:目的:去除在心电信号采集过程中混入的肌电干扰、工频干扰、基线漂移等噪声信号,避免噪声对心电信号特征点的识别和提取造成误判和漏判。方法:首先利用coif4小波对心电信号按Mallat算法进行分解,然后采用软、硬阈值折衷与小波重构的算法进行去噪。结果:采用MIT/BIH Arrhythmia Database中的心电信号进行仿真、验证,有效去除了三种常见的噪声信号。结论:本方法实时性好,为临床分析与诊断奠定了基础。

关 键 词:小渡变换  心电信号  工频干扰  肌电干扰  基线漂移
文章编号:1673-6273(2007)10-1566-03
修稿时间:2007-05-18

The Denoising Algorithm of ECG Signals Based on Wavelet Transform
ZHAO Qing,ZHAO Jie,WEI Long.The Denoising Algorithm of ECG Signals Based on Wavelet Transform[J].Progress in Modern Biomedicine,2007,7(10):1566-1568.
Authors:ZHAO Qing  ZHAO Jie  WEI Long
Institution:Signal and Information Processing Laboratory, College of Physics and Electronics, Shandong Normal University,Jinan, 250014, Shandong, China
Abstract:Objective:In oder to avoid the wrong identification from the characteristics of ECG signals,to remove the electromyo- graphical interference(EMG),powerline interference and baseline-drift existing in the course of collecting ECG signal data were re- moved importantly.Methods:Firstly,based on the Mallat algorithm,the ECG signals was decomposed through the coif4 wavelet.Sec- ondly,the denoising algorithm of tradeoff of soft-and-hard thresholding and the wavelet reconstruction algorithm were used to remove the main noise.Results:The MIT/BIH arrhythmia database was used,which proved that the algorithm could effectively remove the noise. Conclusions:This algorithm is suitable for real-time analysis,and lays a good basis for the clinical analysis and diagnosis.
Keywords:Wavelet  ECG signal processing  Powerline interference  Electromyographical interference  Baseline-drift
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