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肌电信号分析方法的研究及进展 被引量:7

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机构地区 上海交通大学
出处 《中国医疗器械杂志》 CAS 1999年第4期219-222,共4页 Chinese Journal of Medical Instrumentation
基金 国家自然科学基金
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同被引文献36

  • 1王健,金小刚.表面肌电信号分析及其应用研究[J].中国体育科技,2000,36(8):26-28. 被引量:132
  • 2Herzog W,Longino D,Clark A.The role of muscles in joint adaptation and degeneration[J].Langenbeck's Archives of Surgery,2003,388 (5):305-315.
  • 3Hu Y,Mak J N F,Luk K D K.Application of surface EMG Topography in low back pain rehabilitation assessment[C] //Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering.Kohala Coast,HI,2007:557-560.
  • 4Chiang J,Wang Z J,McKeown M J.A windowed eigenspectrum method for multivariate sEMG classification during reaching movements[J].IEEE Signal Processing Letters,2008,15:293-296.
  • 5Nair S S,French R M,Larche D,et al..The application of machine learning algorithms to the analysis of electromyographic patterns from arthritic patients[J].Neural Systems and Rehabilitation Engineering,2009,17 (5):1-10.cessing Letters,2008,15:293-296.
  • 6卢祖能 曾庆杏.实用肌电图学[M].人民卫生出版社,2002.309,881,882.
  • 7Yang guang-ying, Luo zhi-zhen. Surface Electromyography Disposal Based on the Method of Wavelet De-noising and Power Spectrum [A].IEEE Proceedings of the 2004 Internationl Conference on Intelligent Mechatronics and Automation [C]. Chengdu china, 2004. 896-900.
  • 8W. Qin, Y. Hua.Performace analysis of the subspace method for blind channel identification [J].)Signal Processing, 1996, 50(1).
  • 9Ronager J etc.Power spectrum analysis of EMG pattern in normal and diseased muscles [J]. Neurol Sci, 1989, 3(4).
  • 10Omologo M, Svasizer P. Use of the cross-power-spectrum phase in acoustic event localization [J]. IEEE Trans. on Speech and Audio Processing. 1997, 5(3): 288-292.

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