首页 | 本学科首页   官方微博 | 高级检索  
     

利用表面肌电信号评价肌肉疲劳的方法
引用本文:皮喜田,陈峰,彭承琳,郑尔信. 利用表面肌电信号评价肌肉疲劳的方法[J]. 生物医学工程学杂志, 2006, 23(1): 225-229
作者姓名:皮喜田  陈峰  彭承琳  郑尔信
作者单位:重庆大学,生物工程学院,生物力学与组织工程教育部重点实验室,重庆,400044
摘    要:表面肌电信号分析是评价局部肌肉疲劳有效的工具。过去由于受信号处理技术的限制,对肌肉疲劳的评价仅局限于等长、恒力收缩。由于适合于非平稳信号分析的频谱估计技术的发展,使得动态收缩条件下的肌肉疲劳评价得以实现,在工效学、康复医学和运动医学等方面开启了新的应用领域。本文论述了利用表面肌电信号评价肌肉疲劳,特别是在肌肉动态收缩期间评价肌肉疲劳的方法,为进一步探讨肌肉疲劳的发生机制提供理论依据。

关 键 词:表面肌电信号  动态收缩  时频分析  肌肉疲劳
收稿时间:2003-05-27
修稿时间:2003-05-272004-04-20

Methods Applied to Muscle Fatigue Assessment Using Surface Myoelectric Signals
Pi Xitian,Chen Feng,Peng Chenglin,Zheng Erxin. Methods Applied to Muscle Fatigue Assessment Using Surface Myoelectric Signals[J]. Journal of biomedical engineering, 2006, 23(1): 225-229
Authors:Pi Xitian  Chen Feng  Peng Chenglin  Zheng Erxin
Affiliation:College of Bioengineering, Key Laboratory of Biomechanics & Tissue Engineering, Ministry of Education, Chongqing University, Chongqing 400044, China.
Abstract:Surface myoelectric signal analysis has proved effective for assessing the electrical manifestations of localized muscle fatigue.In the past,the analysis of muscle fatigue was restricted to isometric,constant force contractions due to the limitation of signal processing technique.The development and recent availability of spectral estimation techniques specifically designed for nonstationary signal analysis have made it possible to extend the employment of muscle fatigue assessment to dynamic contractions,thus opening new application fields such as ergonomics rehabilitation and sports medicine.This paper reviews the current study achievements of using surface myoelectric signals in muscle fatigue assessment,particularly in that during dynamic contractions.The conclusions provide theoretical bases for encouraging further studies on the mechanisms of muscle fatigue.
Keywords:Surface myoelectric signals Dynamic contraction Time-frequency analysis Muscle fatigue
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号