摘要
根据表面肌电（surface electromyography,sEMG）信号的噪声特性来探讨其降噪方法的应用问题。采用谱插值法来削弱工频干扰以避免工频处的肌电信息成分丢失,再选取通过经验模态分解（empirical mode decomposition,EMD）方法获得的内在模态函数（intrinsic mode function,IMF）分量作小波软阈值分析,并将部分明显的低频IMF干扰分量及冗余分量去除,然后对相应IMF分量进行重构便可得到降噪处理后的sEMG信号。仿真和真实信号的降噪实验结果表明,sEMG信号质量能够得到有效提高,所采用方法具有较好的sEMG信号噪声抑制效果。
This paper introduced a combined method of spectrum interpolation and empirical mode decomposition （ EMD） to explore the noise reduction of surface electromyography （ sEMG） signal. According to the spectrum interpolation,subtracted the power line interference and could hold the useful information of sEMG signal at the power line frequency. Based on the EMD algorithm,selected some proper intrinsic mode functions （ IMFs） to be analyzed by the wavelet soft threshold,removed the residual component and several noised IMFs dominated by low frequency,then,reconstructed the denoised sEMG signal by the processed IMFs. Using the simulated and real sEMG signals,the experimental results show that the signal quality is improved. And the noise in the sEMG signal can be suppressed by the proposed method.
出处
《计算机应用研究》
CSCD
北大核心
2010年第9期3326-3328,3337,共4页
Application Research of Computers
基金
国家自然科学基金资助项目(30870656)
西南科技大学博士研究基金资助项目(08zx0110)
关键词
表面肌电信号
降噪
谱插值
经验模态分解
surface electromyography signal
noise reduction
spectrum interpolation
empirical mode decomposition
