| 引用本文: | 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. |
| JIANG Yabin,ZOU Renling,LIU Jian.Research progress of muscle fatigue discrimination based on surface electromyography[J].Chinese Journal of Bioinformatics,2017,15(2):120-126. |
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| 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。 |
| 关键词: 表面肌电信号 肌肉疲劳 非线性 |
| DOI：10.3969/j.issn.1672-5565.20160622001 |
| 分类号:R318.04 |
| 文献标识码:A |
| 基金项目:上海市科学技术委员会科研计划(14441905100). |
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| Research progress of muscle fatigue discrimination based on surface electromyography |
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JIANG Yabin, ZOU Renling, LIU Jian
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(School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China)
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| 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. |
| Key words: Surface electromyography Muscle Fatigue Non-linear |
