为了消除混杂在肌电信号中的噪声,并保留信号的细节,提出了基于小波变换空域相关法的肌电信号消噪方法.文章首先对小波变换和空域相关滤波的基本理论进行了简要的概述,其次就空域相关滤波用于肌电信号的消噪过程进行了详细的分析.通过肌电信号的小波分解,用空域相关法分离信号与噪声,并给出了一种针对肌电信号各层噪声能量阈值的估计算法.实验结果表明,空域相关滤波较好的保留了肌电信号的边缘特征,为肌电信号的特征提取创造了良好的条件.

In order to eliminate the noise included in EMG and hold details of the signal,spatial correlation filtering for EMG de-noising is put forwarded based on wavelet transformation.Firstly,the paper briefly summarizes the basic theory of wavelet transformation and spatial correlation filtering.Secondly,the paper analyze the process of EMG de-noising with spatial correlation filtering in detail.With wavelet analysis,the signal and noise is separated by spatial correlation filtering.At the same time,the arithmetic of estimating noise-energy threshold of EMG is proposed.The experimental results show that the fringe characters of EMG are reserved effectively through spatial correlation filtering,which offer good conditions for withdrawing the characters of EMG.