Muscle fatigue monitoring, an important element in a fatigue risk management process, can help optimize work intensity and reduce risks for musculoskeletal injuries. An experiment was conducted to determine whether myoelectric manifestations of muscle fatigue can reflect the pace of fatigue development associated with varying load intensity. Twenty male participants performed elbow flexion-extension movements with alternating hand loads (2 kg vs. 1 kg) for 16 min. The pace of fatigue in the biceps brachii in response to load variation was quantified by electromyographic (EMG) fatigue measures collected during the dynamic elbow flexion-extension movements and periodic submaximal isometric elbow flexion trials. The isometric and dynamic EMG measures, except for the amplitude of dynamic EMG, indicated fatigue development during the 2-kg isotonic movements and partial recovery with the 1 kg load. Study results suggest the potential of EMG measures for fatigue monitoring during dynamic work tasks with varying load intensity.

肌肉疲劳监测是疲劳风险管理过程中的重要组成部分，可以帮助优化工作强度并降低肌肉骨骼损伤的风险。进行了一项实验，以确定肌肉疲劳的肌电表现是否可以反映与不同负荷强度相关的疲劳发展速度。20 名男性参与者以交替的手部负荷（2 公斤与 1 公斤）进行肘部屈伸运动，持续 16 分钟。通过在动态肘部屈曲-伸展运动和定期次最大等长肘部屈曲试验期间收集的肌电图（EMG）疲劳测量来量化肱二头肌响应负荷变化的疲劳速度。除动态肌电图振幅外，等长肌电图和动态肌电图测量结果表明，在 2 公斤等张运动和 1 公斤负荷部分恢复过程中出现疲劳。研究结果表明，肌电图测量在不同负荷强度的动态工作任务中监测疲劳的潜力。