腰部运动损伤防护智能服装的研发

针对硬拉项目初学者易出现腰部肌肉损伤的问题,研发了穿戴肌肉疲劳度检测系统,使穿戴者实时掌握竖脊肌疲劳度情况,从而避免肌肉过度疲劳。系统以可穿戴Myoware肌电传感器与Arduino UNO开发板为基础,完成对表面肌电脉冲信号的采集和计算,并将计算得到的表面肌电平均功率频率与肌电疲劳阈进行比较,判定是否达到肌肉疲劳。通过测量4名男性大学生硬拉运动过程中肌肉电信号从开始到疲劳恢复过程中的变化数据,将150 Hz作为该目标群体的肌电疲劳阈。同时,考虑各电子模块的可穿戴性和运动紧身衣的可洗涤性,以可拆卸式风琴袋作为载体,实现电子模块与运动紧身衣的结合。

Research and development of smart garments for waist muscle injury protection

In view of the problem that the beginners of the deadlift project are prone to waist muscle damage,this study developed a wearable muscle fatigue detection system enabling the wearer to grasp the fatigue of the erector spinae in real time,thereby avoiding excessive muscle fatigue.Based on the wearable Myoware electromyography(EMG)sensor and the Arduino UNO development board,the system completed the acquisition and calculation of surface electromyography pulse signals and calculated the surface electrical power frequency.The fatigue threshold value of EMG signal was compared to determine whether muscle fatigue was reached.In this paper,150 Hz was used as the myoelectric fatigue threshold of the target group by measuring the change data of muscle electrical signals during the deadlift exercise of four male college students.This topic fully considers the wear ability of each electronic module and the wash ability of the sports tights.The detachable organ bag is used as a carrier to realize the combination of the electronic module and the sports tights.