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基于Mallat算法的小波分解重构的心电信号处理
引用本文:钟丽辉,魏贯军.基于Mallat算法的小波分解重构的心电信号处理[J].国外电子元器件,2012(2):57-59.
作者姓名:钟丽辉  魏贯军
作者单位:[1]西南林业大学,云南昆明650224 [2]郑州大学,河南郑州450001
摘    要:为了实现对微弱低信噪比的心电信号的有效提取,采用了Mallat算法的小波分解重构法去除心电信号的噪声。首先确定小波分解重构的小波基;其次确定分解的层数;然后直接提取有用信号所在的频带(有用信号占优的频带)进行重构;最后,Matlab仿真MIT-BIT标准数据库中的心电信号表明小波分解重构法可以有效的去除心电信号中的多种干扰;同时比起传统滤波器法来说,小波分解与重构去噪法应用起来更方便。

关 键 词:心电信号  马拉算法  小波分解重构法  基线漂移  肌电干扰

Wavelet decomposition and reconstruction denoising based on the mallat algorithm
ZHONG Li-hui,WEI Guan-jun.Wavelet decomposition and reconstruction denoising based on the mallat algorithm[J].International Electronic Elements,2012(2):57-59.
Authors:ZHONG Li-hui  WEI Guan-jun
Institution:1.Southwest Forestry University,Kunming 650224,China;2.Zhengzhou University,Zhengzhou 450001,China)
Abstract:In order to extract the ECG,the wavelet decomposition and reconstruction denoising based on the Mallat algorithm was discussed in the application of ECG denoising.Firstly,determined the wavelet base function;secondly,determined the decomposition layers;thirdly,re-constructed the ECG by the useful signals;finally,simulation experiments showed that the wavelet decomposition and re-construction denoising can effectively filter out the baseline drift and high frequency of the EMG interference.
Keywords:ECG  mallat algorithm  wavelet decomposition and reconstruction denoising  baseline drift  EMG interference
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