Wavelet Transform and Independent Component Analysis Application to Multi-channel SEMG Processing

摘要：

Multi-channel Surface Electromyography (SEMG)always interfere each other while being acquired, which would distort the source SEMG feature.The new method of SEMG processing is put forwarded to eliminate the signal interference between multi-channel SEMG by combining the wavelet transform with the independent component analysis (ICA).In this method,some noise is removed from the raw SEMG first which are reconstructed again for the observed signals of ICA.Then,the observed signals are separated blindly by using Infomax algorithm.Finally,this paper induces correlation coefficient to judge the consistency of the outputs in ICA with the source SEMG.The experimental results indicate that this method is an effective way to separate multi-channel SEMG.

作者: Li Wenguo Luo Zhizeng

作者单位: Robot Research Institute ,Hangzhou Dianzi University,Hangzhou,China.

会议类型: 国际会议

会议名称: 2008 IEEE International Conference on Onformation and Automation(IEEE 信息与自动化国际会议)

会议地点: 张家界

会议语种:英文

页码: 826-830

在线出版日期: 2008-06-20（万方平台首次上网日期，不代表论文的发表时间）