采用匹配滤波和ICA消除sEMG的工频干扰  

Removing Power Frequency Noise in sEMG with Matched Filtering and ICA

作　　者：张启忠[1] 席旭刚[1] 高发荣[1] 

机构地区：[1]杭州电子科技大学智能控制与机器人研究所,浙江杭州310018

出　　处：《计量学报》2013年第2期168-172,共5页Acta Metrologica Sinica

基　　金：国家自然科学基金（60903084）;浙江省自然科学基金（Y1090968,Y1111189,Y1101230）;浙江省科技计划项目（2010C33075,2010C33131）

摘　　要：设计了一种采用匹配滤波和独立分量分析消除表面肌电信号中工频干扰的新方法。采用匹配滤波可以有效判断表面肌电信号中是否含有工频噪声，从而避免不加区分地对表面肌电信号进行工频去噪。在确定含有工频噪声的前提下，采用独立分量分析，该方法不但能够有效地消除表面肌电信号中的工频噪声，且不会对表面肌电信号的其它频率成分造成明显的影响，取得了良好的工频去噪效果。这一设计思想在实际的表面肌电信号检测时取得了较好的实验结果。A new method of removing power frequency noise in surface electromyography （sEMG） is designed with matched filtering and independent component analysis. It can be judged effectively whether surface electromyography includes the power frequency noise with matched fihering. It can be avoided that the power frequency noise filter is abused. Under this premise that surface electromyography includes the power frequency noise, the power frequency noise can be removed effectively and the other frequency components is not affected significantly by using independent component analysis. The experiment proved that this method is effective.

关 键 词：计量学 表面肌电信号 工频噪声 匹配滤波 独立分量分析 

分 类 号：TB973[一般工业技术—计量学]