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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 被引量:1

A Comparative Analysis of Performance of Some Processing Methods in Reducing Power-Line Interference from EMG Recordings
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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。 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 realtime 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.
出处 《集成技术》 2012年第1期114-118,共5页 Journal of Integration Technology
基金 国家自然科学基金(60971076 61135004) 深圳市政府基础研究计划(JC201005270295A) 深圳市生物医疗电子与健康信息公共技术服务平台 广东省低成本健康技术创新团队基金 深圳市个性化骨科技术与服务平台
关键词 肌电信号 工频干扰 滤波方法 干扰减少 EMG signal power line interference filtering methods interference reduction
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  • 1Wu Z X,Huang Z X,Huang S J.Digital signal processing. . 1988
  • 2Widrow B,Glover J R,McCool J M,et al.Adaptive noise canceling: principles and applications. Proceedings of Tricomm . 1975
  • 3付聪,李强,李博.表面肌电信号采集与降噪处理[J].现代生物医学进展,2011,11(20):3951-3953. 被引量:4
  • 4Stockwell RG,Mansinha L,Lowe RP.Localization of the complex spectrum: the S transform. IEEE Transactions on Signal Processing . 1996
  • 5Grewal MS,Andrews AP.Kahnan Filtering:Theory and Practice. . 1993
  • 6Castellini C,Fiorilla A E,Sandini G.Multi-subject/daily-life activity emg-based control of mechanical hands. Journal of NeuroEngineering and Rehabilitation . 2009
  • 7丁祥峰,孙怡宁,孙启柱.表面肌电检测中消除工频干扰的方法[J].北京生物医学工程,2006,25(1):63-66. 被引量:11
  • 8G.Li,A.E.Schultz,T.A.Kuiken."Quantifying Pattern Recognition-Based Myoelectric Control of Multifunctional Transradial Prostheses,". IEEE Trans Neural Systems and Rehabilitation Engineering . 2010
  • 9Chen C-C,He Z-C,Hsueh Y-H.An EMG feedback control functional electrical stimulation cycling system. Journal of Signal Processing Systems . 2011
  • 10吴銮,黄鹏程,鲍官军,杨庆华.表面肌电信号分析及其在康复医学中的应用[J].机电工程,2011,28(11):1368-1373. 被引量:15

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