表面肌电信号采集与降噪处理

目的：本文以设计的表面~g（sEMG）信号采集系统为基础，探讨sEMG信号中的降噪处理问题。方法：结合sEMG信号的噪声影响情况，首先利用带通滤波器消除肌电信号频带外噪声，再通过频谱插值法来抑制工频干扰分量，最后使用小波分析方法来削弱肌电信号频带内噪声。结果：通过对检测sEMG信号的降噪处理，信号噪声得到明显抑制。结论：所设计采集系统能够获得满意的sEMG信号检测效果，所采用降噪方法能够有效提高sEMG信号的质量。

Detection and Noise Reduction of Surface Electromyography Signal

Objective： The noise reduction of surface electromyography （sEMG） signal was explored using the designed signal detection system. Methods： According to the noise influence, the band-pass filter was used to eliminate the low and high frequency noise, and the spectrum interpolation method was utilized to reduce the power line interference, then, the wavelet analysis algorithm was applied to attenuate the residual noise. Results： The noise interfere in the detected sEMG signal could be suppressed. Conclusion： The sEMG signal could be collected using the detection system and the satisfying denoising effect could be acquired.