表面肌电信号的肌肉疲劳判别研究进展

被引：35

作者：

姜亚斌

邹任玲

刘建

机构：

[1] 上海理工大学医疗器械与食品学院

来源：

生物信息学 | 2017年 / 15卷 / 02期

关键词：

表面肌电信号; 肌肉疲劳; 非线性;

D O I：

暂无

中图分类号：

R741.044 [电生理检查]; TN911.6 [信号分析];

学科分类号：

100204 [神经病学]; 120505 [信息分析];

摘要：

肌肉在周期的收缩或静态的拉伸过程中,会渐渐进入疲劳状态,肌肉疲劳特性的研究在康复医学、运动医学领域具有重要作用。表面肌电信号是从肌肉表面通过电极记录下来的反映神经肌肉系统活动的一维时间序列非平稳生物电信号,是评价局部肌肉疲劳的有效工具。本研究从时域和频域、时频域线性方法下的测量指标和非线性方法下的指标来综述表面肌电信号的疲劳研究进展,同时比较各种方法的优缺点,并对使用表面肌电信号来判别疲劳研究做了进一步的展望。

引用

页码：120 / 126

页数：7

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