摘要
目的:去除心电信号采集过程中混入的工频干扰、肌电干扰和基线漂移等噪声信号,并能有效的保留心电特征信息。方法:通过小波变换将含噪的心电信号分解并重构得到不同尺度下的细节信号,在中小尺度上选取不同的门限值,并在QRS波群信息多的尺度上计算获得信息窗,对该尺度的信息窗内外采用不同的门限处理方式,在大尺度上直接重构出要去除的基线信息。结果:采用MIT/BIH Arrhythmia Database中的数据对算法进行了仿真验证,实现了三种主要干扰的去除,较好的保留了心电特征信息。结论:本方法效果较好,为后续的特征点识别奠定了基础。
Objective：To remove the powerline interference,electromyographical interference（EMG） and baseline wander existing in the original ECG signal,and retain the characteristics of original signals effectively.Methods： The original ECG signal was decomposed and reconstructed into detail signals at different frequency bands by using wavelet transform（WT）.Different thresholds were chosen in the middle-scale and small-scale.In the scale with large QRS complex information,windows were obtained by calculating, and different processing methods were used inside and outside the windows in this scale. And in the large scale baseline wander signal could be reconstructed directly. Results： The MIT/BIH Arrhythmia Database was used, which proved the algorithm could effectively remove the three main noises and retain the characteristics of original signals well. Conclusions： The effect of this algorithm is good, and it lays the foundation of recognizing the ECG signal subsequently.
出处
《现代生物医学进展》
CAS
2009年第19期3744-3746,共3页
Progress in Modern Biomedicine
关键词
心电信号
工频干扰
肌电干扰
基线漂移
ECG signal
power-line interference
electromyographical interference
baseline wander
作者简介
张坤（1985-），男，硕士研究生，主要研究方向：信号处理 通讯作者：张坤，E-mail：zzkk25@yahoo．com．cn
