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Evaluation of Muscle Fatigue Based on Surface Electromyography and Subjective Assessment

机译:基于表面肌电图和主观评估的肌肉疲劳评估

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In this paper, an assessment model for muscle fatigue was constructed with mean fatigue energy and subjective feeling of fatigue degree for the entire process of the experiment. The model which combined objective and subject data will be valuable for improving work efficiency and for monitoring muscle fatigue. To investigate the relationship between surface electromyography and subjective assessment of muscle fatigue, twenty young male volunteers participated in the experiment of pistol holding and aiming. sEMG of the anterior deltoid was recorded during the entire process, while fatigue assessments (Borg scale) were collected every 30s. We divided the signal into several parts and then octave band method was used to calculate mean energy of each part. An equation was derived based on the relationship between the mean energy of sEMG and Borg scale. The results demonstrated that a quadratic curve reflected the relationship between fatigue energy and fatigue sensation, which suggests that fatigue energy can be calculated to use to collect sEMG activity recordings, and that fatigue sensation can be determined using this evaluation model. This model therefore provides a suitable basis for developing fatigue-monitoring equipment based on sEMG activity, as well as providing a theoretical and design basis for monitoring the fatigue levels of operators, and designing and planning jobs to make them more ergonomic and intuitive.
机译:在本文中,构建了肌肉疲劳的评估模型,具有平均疲劳能量和疲劳程度的整个实验过程。组合目标和主体数据的模型对于提高工作效率和监测肌肉疲劳来说是有价值的。探讨表面肌电图之间的关系和肌肉疲劳的主观评估,20名年轻男性志愿者参与了手枪持有和瞄准的实验。在整个过程中记录了前倍倍细倍细性的SEMG,而每30秒收集疲劳评估(Borg Scale)。我们将信号划分为几个部分,然后使用八度音频方法来计算每个部分的平均能量。基于SEMG和BORG规模的平均能量之间的关系导出了一个等式。结果表明,二次曲线反映了疲劳能量和疲劳感的关系,这表明可以计算疲劳能量以用于收集SEMG活动记录,并且可以使用该评估模型确定疲劳感。因此,该模型为基于SEMG活动的发展疲劳监测设备提供了合适的基础,并为监测操作员的疲劳水平和设计和规划工作以使其更加符合人体工程学和直观的理论和设计依据。

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