华中科技大学学报（自然科学版）2011，Vol.39Issue(z2)：411-413,3.
OGWE算法及其在表面肌电信号中的应用
The algorithm of OGWE and its application on surface electromyography
摘要
Abstract
In order to eliminate the signal coupling cross-talk among the acquired multi-channel Surface Electromyography (SEMG), a new disposal way is proposed. On the basis of weighted estimators , taking the number of samples and components of the input-signal on ready to separate as the optimized factor. This method combines the wavelet transform with the optimized generalized weighted estimators(OGWE). By using the noise filtering function of wavelet transform, some noise is removed from the original signal then used as the input of independent component analysis(ICA). Finally, optimized algorithm makes many comparisons with the FastICA, such as energy value, cross-correlation etc. The results indicate that this method is an effective way to eliminate cross talk from the aliasing signal.关键词
表面肌电信号/串扰/小波变换/噪声/广义权重估计/独立分量分析Key words
SEMG/ cross-talk/ wavelet transform/ noise/ generalized weighted estimators (GWE)/ ICA分类
信息技术与安全科学引用本文复制引用
杨新亮,罗志增..OGWE算法及其在表面肌电信号中的应用[J].华中科技大学学报（自然科学版）,2011,39(z2):411-413,3.基金项目
国家自然科学基金资助项目(60874102). （60874102）
