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从肌电信号中减少工频干扰方法的性能比较分析

A Comparative Analysis of Performance of Some Processing Methods in Reducing Power-Line Interference from EMG Recordings

  • 摘要: 如何从肌电信号中有效地减少工频干扰一直是肌电信号检测与应用中的突出问题。本文总结数字陷波、LMS自适应滤波、卡尔曼(Kalman)滤波和S变换等几种适合进行实时工频干扰去除的方法, 研究和分析它们在去除肌电信号中工频干扰的性能。初步结果表明:Kalman滤波方法在从肌电信号中减少工频干扰方面表现出了较好的整体性能, 而S变换方法对具有严重工频干扰的肌电信号具有较好的噪声抑制效果。

     

    Abstract: Effectively reducing power line interference is always an important issue in electromyography (EMG) signal recordings and analysis. In this study, four commonly used de-noising methods, including digital notch, LMS based adaptive filter, Kalman filter and S transform, which may be suitable for the reduction of power line interference in real-time EMG recordings, were chosen and their performance in reducing the power line interference from EMG signal recordings were quantitatively analyzed and compared. The pilot results of this study showed that Kalman filter presented the best whole performance in attenuating power line interference from EMG signals and S transform de-noising method illustrated the best performance when the power line interference was severe.

     

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