| 注册
首页|期刊导航|生物信息学|表面肌电信号的肌肉疲劳判别研究进展

表面肌电信号的肌肉疲劳判别研究进展

姜亚斌 邹任玲 刘建

生物信息学2017,Vol.15Issue(2):120-126,7.
生物信息学2017,Vol.15Issue(2):120-126,7.DOI:10.3969/j.issn.1672-5565.20160622001

表面肌电信号的肌肉疲劳判别研究进展

Research progress of muscle fatigue discrimination based on surface electromyography

姜亚斌 1邹任玲 1刘建1

作者信息

  • 1. 上海理工大学医疗器械与食品学院,上海200093
  • 折叠

摘要

Abstract

Muscle contraction or static stretching process cycle gradually enters the state of fatigue,and research on muscle fatigue characteristics plays an important role in rehabilitation medicine,sports medicine.Surface EMG is recorded from the surface of the muscle through the electrodes,which can reflect the neuromuscular system activity of a one-dimensional non-stationary time series of biological signals,and is an effective tool to evaluate local muscle fatigue.This paper reviews the progress of measure index from the time domain and frequency domain,time domain linear method and indicators surface EMG nonlinear methods under fatigue frequency.In addition,the advantages and disadvantages of each method are compared,and future research topics on the use of surface electromyography signal to determine the fatigue study are discussed.

关键词

表面肌电信号/肌肉疲劳/非线性

Key words

Surface electromyography/Muscle Fatigue/Non-linear

分类

医药卫生

引用本文复制引用

姜亚斌,邹任玲,刘建..表面肌电信号的肌肉疲劳判别研究进展[J].生物信息学,2017,15(2):120-126,7.

基金项目

上海市科学技术委员会科研计划(14441905100) (14441905100)

生物信息学

1672-5565

访问量0
|
下载量0
段落导航相关论文