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。
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.
出处
《电子设计工程》
2012年第2期57-59,共3页
Electronic Design Engineering
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
ECG
mallat algorithm
wavelet decomposition and reconstruction denoising
baseline drift
EMG interference
