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基于小波包变换的肌电信号去噪研究 被引量:3

A Method Based on Wavelet Package Transform for Denoising Electromyographic Signal
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摘要 肌电信号的检测与分析对临床诊断以及康复医学具有重要意义。肌电信号的特点是强噪声背景下的生物信号,对肌电信号的检测和提取具有一定的难度。我们针对肌电信号的特点以及与噪声的关系,采用小波包变换的方法进行去噪研究。通过仿真以及在自主开发的便携肌电诱发电位测量系统中的应用,说明该方法对肌电信号的去噪是有效的。 The detection and analysis of electromyographic signal is of far reaching importance for clinical diagnosis as well as for convalescence medicine. Electromyographic signal is a kind of biological signal in the background full of noise, so it is somewhat difficult to detect and extract the electromyographic signal. In this paper is discussed how to use the method of wavelet package transform to denoise the electromyographic signal on the basis of its feature and its relationship with noise. The results of simulation and application in the Electromyographic Evoked Potential Measuring Systm independently developed by our laboratory illuminate that the method is effective for denoising electromyographic signal.
出处 《生物医学工程学杂志》 EI CAS CSCD 北大核心 2008年第2期323-326,共4页 Journal of Biomedical Engineering
关键词 肌电信号 小波包变换 去噪 Electromyographic signal Wavelet package transform Denoise
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参考文献5

  • 1Deluca C. Physiology and mathematics of myoeleetrie signals. IEEE Transactions on Biomedical Engineering, 1979; 26 : 313-325
  • 2Shwedyk E, Balasubramanian R, Scott RN. A nonstationary model for the electromyogram. IEEE Transactions on Biomedical Engineering, 1977;BME-24(5) :417
  • 3聂德,尧德中,谢正祥.生物医学信号数字处理技术及应用.北京:科学出版社,2005:22-23,297-304
  • 4徐佩霞,孙功宪.小波分析与应用实例.合肥:中国科学技术大学出版社,2001.
  • 5林敏,朱若谷.暂态信号的小波包去噪方法[J].中国科学基金,2001,15(1):36-38. 被引量:1

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