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拮抗肌对的自回归滑动平均模型的参数分析
引用本文:章劲松 杨基海. 拮抗肌对的自回归滑动平均模型的参数分析[J]. 中国科学技术大学学报, 1995, 25(2): 236-239
作者姓名:章劲松 杨基海
摘    要:将自回归滑动平均模型运用于肘关节桔抗肌对的肌电信号分析中,利用该模型所提供的丰富的参数,来研究在同一关节上的拮抗肌对的疲劳关系.模型中的一些自回归系数和肌疲劳程度具有相似的变化趋势.而且,对于同一伸展或屈曲过程,关节上的拮抗肌的疲劳参数要大于主动肌的参数.

关 键 词:自回归滑动平均模型,主动肌和拮抗肌,表面肌电信号

Parameters Analysis of Elbow Antagonist Muscles with Autoregressive Moving Average Model
Zhang Jinsong, Yang Jihai, Zhou Binghe, Hu Wenjun, Ni Xiaomin. Parameters Analysis of Elbow Antagonist Muscles with Autoregressive Moving Average Model[J]. Journal of University of Science and Technology of China, 1995, 25(2): 236-239
Authors:Zhang Jinsong   Yang Jihai   Zhou Binghe   Hu Wenjun   Ni Xiaomin
Affiliation:Department of Electrical Bagineering
Abstract:AREA parameters are represented by the coefficients of autoregtessive moving average model. Our last research work indicated that the muscle would fatigue under sustained contraction, and some of AREA parameters could reflect this fatigue feature with obviously decreasing tendency. In this paper, by analysing two groups of AREA parameters,the surface electromyograms(SEMG) from the flexor and extensor of nomal human elbow is processed and the fatigue relation between antagonist and agonist is shown. The parameters of the antagonist muscles are higher than those of the agonist, and both of them decline clearly at different rates as the contraction is sustained.
Keywords:ARMA Model  agonist and antagonist  SEMG
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