传感技术学报Issue(3)：293-298,6.DOI:10.3969/j.issn.1004-1699.2014.03.003
多通道表面肌电信号降噪与去混迭研究
A Study of Multi-Channel sEMG De-Noising and Aliasing Removal
摘要
Abstract
There is an aliasing between the multi-channels of Surface Electromyographys(sEMG)when they are collected by a data acquisition device. The sEMG will inevitably be affected by noise due to the influence of acquisition equipment and the environment. In order to obtain unmixed sEMG,a new method is proposed. The method that combined by second generation wavelet transform and independent component analysis ( ICA ):makes use of second generation wavelet transform to reduce noise in the sEMG,then,takes a ICA signal separation on sEMG by the improved FastICA algorithm. Finally,the paper introduces correlation coefficient to verify anti-aliasing effect. The experimental results indicate that this method is an effective way to de-noise and separate the mutual mixed sEMG.关键词
表面肌电信号/独立分量分析/二代小波变换/FastICA算法/互相关系数Key words
surface electromyography ( sEMG )/independent component analysis ( ICA )/second generation wavelet transform/FastICA algorithm/cross-correlation coefficient分类
信息技术与安全科学引用本文复制引用
席旭刚,左静,张启忠,罗志增..多通道表面肌电信号降噪与去混迭研究[J].传感技术学报,2014,(3):293-298,6.基金项目
国家自然科学基金项目(60903084,61172134,61201300) （60903084,61172134,61201300）
浙江省自然科学基金项目(LY13F030017,Y1111189) （LY13F030017,Y1111189）
