| 肌肉疲劳过程中电诱发表面肌电信号的小波分析 |
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| 引用本文： | 颜芳,曾孝平,何庆华,宋焱翼.肌肉疲劳过程中电诱发表面肌电信号的小波分析[J].重庆大学学报(自然科学版),2005,28(1):77-81. |
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| 作者姓名： | 颜芳 曾孝平 何庆华 宋焱翼 |
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| 作者单位： | 重庆大学,通信工程学院,重庆,400030;第三军医大学,大坪医院野战外科研究所,重庆,400042 |
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| 基金项目： | 重庆市科委应用基础研究项目 |
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| 摘 要： | 分析由电刺激腓肠肌得到的表面肌电信号(Surface electromyography, SEMG),研究肌肉疲劳过程中表面肌电信号的特征,采用小波分析的方法,选择与M-波形状相似的小波函数,对其两个半波进行小波变换,分别分析两个半波在时域波形的拉伸程度,确定以小波变换尺度为主要依据的肌肉疲劳指数,实现疲劳状态的定量描述.该方法克服了傅里叶变换在时域中没有分辨率,信号在某一时刻变化将影响整个频谱特性的缺点,确定了特异性和可靠性良好的表征肌肉疲劳的SEMG指标,为进一步应用这些指标评价肌肉功能状态提供理论依据.
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| 关 键 词： | 疲劳 电诱发 表面肌电信号 小波变换 |
| 文章编号： | 1000-582X(2005)01-0077-05 |
| 修稿时间： | 2004年9月7日 |
Wavelet Analysis of Electrically Evoked Surface Electromyography Signals During Muscle Fatigue |
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| YAN Fang,ZENG Xiao-ping,HE Qing-hu,SONG Yan-yi.Wavelet Analysis of Electrically Evoked Surface Electromyography Signals During Muscle Fatigue[J].Journal of Chongqing University(Natural Science Edition),2005,28(1):77-81. |
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| Authors: | YAN Fang ZENG Xiao-ping HE Qing-hu SONG Yan-yi |
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| Abstract: | By analysis of electricallyevoked surface electromyogram(SEMG) to suralmuscle, study the characteristics of SEMG signal during muscle fatigue. The time stretchingof two semi-ave of M-wave are analyzed respectively by wavelet method choosing wavelet function matching to M-wave. Indexes of muscle fatigue are educed accordingto the scale of wavelet transform, are the quantitative analysis is realized during muscle fatigue. This method overcomes the limitation of Fourier Transform that it has no resolution in time domain, find indicators of SEMG which are correct, reliable and easy to interpret, and try to providetheoretic referencefor the applicationsof these indicators. |
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| Keywords: | fatigue electrically evoked SEMG wavelet transform |
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