基于小波变换的ECG信号伪差消除法

Apparent and seeming error removing based on ECG signals in wavelet transformation

文章利用二进小波的分解与重构方法，对人体心电图信号中常见的几种伪差进行消除，实验表明应用小波变换法可以迅速、有效地消除ＥＣＧ信号中由于肌肉震颤、基线漂移和工频干扰等引起的伪差，为正确判断ＥＣＧ信号提供了保障。

Expounded in this paper is the removal of apparent and seeming errors frequently seen in ECG signals through breakdown and reconstruction of dyadic wavelets. Experiments show that it is possible to quickly and effectively remove such errors caused by muscle trembling, float displacement of base lines and AC frequency interference so as to ensure correct judgment of ECG signals.