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人体下肢表面肌电信号的检测与分析
引用本文:张瑞红,王人成,金德闻,张济川. 人体下肢表面肌电信号的检测与分析[J]. 清华大学学报(自然科学版), 2000, 40(8): 73-76
作者姓名:张瑞红  王人成  金德闻  张济川
作者单位:清华大学,精密仪器与机械学系,北京,100084
基金项目:国家自然科学基金项目 !(39770 2 14)
摘    要:人体步行时下肢肌电信号 (EMG)活跃 ,为研究步态周期内 EMG随路况的变化趋势 ,采用了下肢表面 EMG8通道检测装置进行了实验 ,对多人在 6种路况 (或步速 )下行走时的下肢 EMG进行了检测和分析。实验结果表明 ,步行时下肢肌肉活动有一定的规律性 ;各路况信号开始及持续时间、信号绝对值平均、中频等特征值区分明显 ,可以将其应用于智能肌电控制假肢路况模式辨识

关 键 词:表面肌电信号  信号分析  下肢
修稿时间:1999-07-12

Analysis and measurement of a lower limb surface EMG during walking
ZHANG Ruihong,WANG Rencheng,JIN Dewen,ZHANG Jichuan. Analysis and measurement of a lower limb surface EMG during walking[J]. Journal of Tsinghua University(Science and Technology), 2000, 40(8): 73-76
Authors:ZHANG Ruihong  WANG Rencheng  JIN Dewen  ZHANG Jichuan
Abstract:Electromyography (EMG) is used to measure human lower extremity activity during walking. The different trends when walking over different terrain were measured with an 8 channel lower extremity EMG detection system. Samples were taken with people walking on 6 different terrains. The experimental results indicate that the EMG signals for the different people are related. The onset time and the duration of the EMG, the integral of the absolute value (IAV), and the median EMG frequency are all different for people walking on different terrains or at different speeds. These properties may be used in gait pattern identification algorithms for EMG controlled intelligent A/K prosthesis.
Keywords:electromyography (EMG)  signal analysis  lower limb
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