摘要
以小波变换的多分辨率分析为基础 ,通过对体表心电信号 ( ECG)及其噪声的分析 ,对 ECG信号中存在的基线漂移、工频干扰及肌电干扰等几种噪声 ,设计了不同的小波消噪算法 ;并利用MIT/BIH国际标准数据库中的 ECG信号和程序模拟所产生的 ECG信号 ,分别对算法进行了仿真与实验验证。结果表明 ,算法能有效地滤除 ECG信号检测中串入的几类主要噪声 ,失真度很小 ,可满足临床分析与诊断对
We apply the multi-resolution analysis (MRA) of wavelet transform (WT), which was proposed by Mallat, to suppress the three main types of noises existing in electrocardiogram (ECG) signals: baseline wander, powerline interference and electromyographical interference. We apply Mallat algorithm to suppress the baseline wander in ECG signals. We apply the soft-thresholding algorithm, proposed by Donoho et al on the basis of MRA of WT, to suppress powerline interference in ECG signals. We apply Mallat algorithm and then the algorithm proposed by Donoho et al to suppress the electromyographical interference in ECG signals, whose frequency range varies from 5 Hz to 2 kHz. We performed simulations, using both ECG signals from MIT/BIH database, and ECG signals generated via computer simulation. The results show that the algorithm can suppress the main noises existing in ECG signals efficiently with very little distortion, and can satisfy the requirements of clinical analysis and diagnosis on ECG waveforms.
出处
《西北工业大学学报》
EI
CAS
CSCD
北大核心
2005年第1期11-14,共4页
Journal of Northwestern Polytechnical University
关键词
ECG信号
小波变换
基线漂移
工频干扰
肌电干扰
Biomedical engineering
Computer simulation
Electromyography
Spurious signal noise
Wavelet transforms
