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Design and Validation of Multichannel Wireless Wearable SEMG System for Real-Time Training Performance Monitoring

机译:用于实时训练性能监测的多通道无线可穿戴式SEMG系统的设计与验证

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摘要

Monitoring of training performance and physical activity has become indispensable these days for athletes. Wireless technologies have started to be widely used in the monitoring of muscle activation, in the sport performance of athletes, and in the examination of training efficiency. The monitorability of performance simultaneously in the process of training is especially a necessity for athletes at the beginner level to carry out healthy training in sports like weightlifting and bodybuilding. For this purpose, a new system consisting of 4 channel wireless wearable SEMG circuit and analysis software has been proposed to detect dynamic muscle contractions and to be used in real-time training performance monitoring and analysis. The analysis software, the Haar wavelet filter with threshold cutting, can provide performance analysis by using the methods of moving RMS and %MVC. The validity of the data obtained from the system was investigated and compared with a biomedical system. In this comparison, 90.95% ± 3.35 for left biceps brachii (BB) and 90.75% ± 3.75 for right BB were obtained. The output of the power and %MVC analysis of the system was tested during the training of the participants at the gym, and the training efficiency was measured as 96.87% ± 2.74.
机译:如今,对于运动员而言,监视训练成绩和身体活动已变得不可或缺。无线技术已开始广泛用于肌肉激活的监视,运动员的运动表现以及训练效率的检查中。在训练过程中同时具有可监控的性能,对于初学者来说,在举重和健美运动中进行健康训练尤为必要。为此,已经提出了一种由4通道无线可穿戴式SEMG电路和分析软件组成的新系统,用于检测动态肌肉收缩并用于实时训练性能监测和分析。分析软件Haar小波滤波器具有阈值削减功能,可以使用移动RMS和%MVC的方法进行性能分析。从该系统获得的数据的有效性进行了调查,并与生物医学系统进行了比较。在该比较中,左肱二头肌(BB)为90.95%±3.35,右BB为90.75%±3.75。该系统的功率输出和%MVC分析是在体育馆的参与者训练期间进行测试的,训练效率为96.87%±2.74。

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