CAJ | 학술논문

为了更好地消除混杂在表面肌电信号(sEMG)中的噪声，提出一种基于噪声统计特性的EMD自相关消噪方法。首先，对含噪sEMG信号进行EMD分解，并根据噪声统计特性降低低信噪比的高频IMF分量的能量后重组信号。其次，对重组后的信号进行自相关函数特性的EMD分解，并对自相关函数方差低于阈值的高频IMF分量进行小波去噪。最后，把处理后的高频IMF分量和低频IMF分量重构，得到的信号即为消噪信号。实验结果表明，该方法不仅能更好的消除噪声，而且在低信噪比情况下有良好表现。
위료경호지소제혼잡재표면기전신호(sEMG)중적조성，제출일충기우조성통계특성적EMD자상관소조방법。수선，대함조sEMG신호진행EMD분해，병근거조성통계특성강저저신조비적고빈IMF분량적능량후중조신호。기차，대중조후적신호진행자상관함수특성적EMD분해，병대자상관함수방차저우역치적고빈IMF분량진행소파거조。최후，파처리후적고빈IMF분량화저빈IMF분량중구，득도적신호즉위소조신호。실험결과표명，해방법불부능경호적소제조성，이차재저신조비정황하유량호표현。
A de-nosing method based on the noise statistical EMD autocorrelation is proposed to eliminate the noise mixed with sEMG. Firstly, the sEMG signals are recombined through EMD based on energy reduction of low SNR high-frequency IMF according to the noise statistics. Then, the recombined signals are decomposed by EMD, and high-frequency IMFs whose autocorrelation function variance is below the threshold are denoised by the wavelet. Finally, the processed high-frequency IMF and low-frequency IMF are reconstructed to get the signal denoised. The experimental results show that the method not only can well eliminate noise, but also a good performance is achieved under the condition of low signal-to-noise ratio.