首页|基于sEMG的拉力作业肌肉疲劳与恢复研究

基于sEMG的拉力作业肌肉疲劳与恢复研究

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目的 为了探究动态拉力作业肌肉疲劳与恢复的特征,避免肌肉疲劳累积,降低肌肉骨骼疾患(MS-Ds)风险.方法 设计动态拉力作业疲劳与恢复试验,选取10 名男性本科生.测量屈指肌和肱三头肌的表面肌电信号,通过统计学方法分析肌群指标MF和MPF的变化特征.结果 经过静坐恢复方式干预,肌力恢复至88%MVC,屈指和肱三头肌肌电频域指标MF和MPF均呈上升趋势,主观疲劳感随休息时间延长呈下降趋势.结论 肌电频域指标MF和MPF能够较好地作为评估动态拉力作业中肌肉疲劳状态恢复过程的客观指标.本研究的疲劳状态恢复特征研究内容可为现实拉力作业中的休息设计提供依据.
Study of Muscle Fatigue and Recovery for Dynamic Pulling Based on sEMG
Objective To characterize muscle fatigue and recovery from dynamic pulling operations to avoid accu-mulation of muscle fatigue and reduce the risk of musculoskeletal disorders(MSDs).Methods A fatigue and recov-ery test was designed for 10 male undergraduate students.Surface electromyographic signals of flexor digitorum and tri-ceps brachii were measured,and changes in the muscle group indexes MF and MPF were characterized by statistical methods.Results After the intervention of sedentary recovery mode,the muscle strength was restored to 88%MVC,the flexor digitorum and triceps brachii muscle electromyographic frequency domain indexes MF and MPF showed an increasing trend,and subjective fatigue showed a decreasing trend with the prolongation of rest time.Conclusion The electromyographic frequency domain indexes MF and MPF can be better used as objective indexes to assess the recov-ery process of muscle fatigue state in dynamic tension operations.The research content of fatigue state recovery charac-teristics in this study can provide a basis for rest design in real-life pulling operations.

industrial ergonomicsporferdynamic pulling workwireless surface electromyographymuscle fatigue recoveryoccupational healthmusculoskeletal disorders MSDs

程阳、肖楠、莫聪、左华丽、易灿南、李开伟

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湖南工学院 安全与管理工程学院,湖南 衡阳 100084

南华大学 资源环境与安全工程学院,湖南 衡阳 421001

台湾中华大学 工业管理系,台湾 新竹 30012

职业工效 搬运工 动态拉力作业 无线表面肌电 肌肉疲劳恢复 职业健康 肌肉骨骼疾患

省级大学生创新创业训练计划项目湖南省自然科学基金资助项目湖南工学院政府公派出国留学人员归国项目湖南省教研教改项目一般项目

2022115280842020JJ42643HNJG-2022-1197

2024

人类工效学
中国人类工效学学会 安徽三联事故预防研究所

人类工效学

CSTPCD
影响因子:0.651
ISSN:1006-8309
年,卷(期):2024.30(2)
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