摘要
采用独立分量分析中的信息极大化快速算法初步探讨了表面肌电信号的分解问题。研究结果表明 ,独立分量分析对肌肉轻度收缩力水平下 (<10 %MVC)表面肌电信号的分解有较好的效果 。
The surface EMG(SEMG) signals decomposition algorithm based on independent component analysis(ICA) were exploned. A preliminary experiment was studied. The results show that this method can decompose the SEMG signal efficiently when the muscle contract level up to 10% of maximal voluntary contraction (MVC). It can be concluded that ICA is a promising method of preprocessing for SEMG decomposition.
出处
《生物医学工程研究》
2004年第1期4-6,共3页
Journal Of Biomedical Engineering Research
基金
国家自然科学基金资助项目 (6 0 3710 15 )
