基于织物传感器所测肌肉厚度特征的肌肉疲劳监测

Monitoring Muscle Fatigue Based on Characteristics of Muscle Thickness Measured by Fabric Strain Sensors

骨骼肌疲劳监测是康复医疗和运动科学等领域热点课题。然而受传感器的尺寸和价格所限,目前的肌肉疲劳监测技术不适用于运动场景。该研究基于织物应变传感器的穿戴式智能带测量人体上臂肱二头肌的厚度变化,以期辅助常规肌电图(electromyography,EMG)传感器监测肌肉疲劳。测试方案选用哑铃弯举动作,采用EMG过零率和EMG中位频率检验新提出的2个基于厚度的肌肉疲劳指标,即电阻中位频率和电阻所围面积。结果显示,EMG中位频率和电阻中位频率相关系数达0.7815,P值为0.0220;EMG过零率和电阻所围面积相关系数达0.8747,P值为0.0045。结果表明,基于厚度的肌肉疲劳指标与常用的基于EMG的疲劳指标显著相关。该研究验证了使用面向可穿戴的柔性传感器在运动中监测肌肉疲劳的可行性,显示出该类传感器在肌肉疲劳监测研究领域的广阔前景。

Monitoring muscle fatigue is a hot research topic in rehabilitation medicine and sports science.However,the previous research on monitoring muscle fatigue is limited by the size and price of equipment and is not applicable to the field of sports.In this study,a wearable smart band powered by a resistive fabric strain sensor was implemented to measure thickness changes and combined with a portable electromyography(EMG)sensor to monitor bicep fatigue.A dumbbell curl training scheme was designed,and based on muscle physiology,fatigue-related features of the muscle thickness were proposed.The Pearson correlation coefficient between the median frequency(MDF)of EMG and the MDF of resistance was 0.7815,the Pearson correlation coefficient between the zero crossing rate(ZCR)of EMG and the enclosed area of the resistance was 0.8747,and the significant level P-values were 0.0220 and 0.0045,respectively.The results indicated that the muscle thickness characteristic indices were significantly correlated with common EMG fatigue indices.This study proves the feasibility of muscle fatigue monitoring based on muscle thickness characteristic indices and flexible fabric strain sensors as a supplementary method in the study of muscle fatigue.The methodology of this study has broad development prospects in the field of muscle fatigue research.