Internet of Thing in Measuring Muscle Strength: Systematic Literature Review

R. Gunawan, Suhardi, W. Adiprawita, N. Kurniawan
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Abstract

Measuring muscle strength is needed so that a person's muscle strength can predict how much potential strength there is in a particular muscle. This is very useful for the purposes of sports science so that the athlete's ability can be predicted properly. Potential muscle strength is usually measured through a test using a dynamometer, this process is carried out periodically on certain occasions. It would be quite helpful if monitoring muscle strength can be done throughout the day to day training activities. A number of IoT devices will be installed at several points of sportswear and in real time will send the necessary data to be evaluated. This paper will explore an approach to measuring muscle strength electronically through the EMG and sEMG methods. The strength of athletes in carrying out their activities does not only depend on muscle activity but will also depend on other parameters. Therefore the prediction of an athlete's muscle strength can be estimated by combining EMG, BMI, heart rate and blood pressure data to support this prediction.
物联网测量肌肉力量:系统文献综述
测量肌肉力量是必要的,这样一个人的肌肉力量就可以预测特定肌肉的潜在力量有多大。这对于运动科学的目的是非常有用的,这样就可以正确地预测运动员的能力。潜在的肌肉力量通常通过使用测力计的测试来测量,这个过程在某些场合定期进行。如果能在日常训练活动中监测肌肉力量,那将是非常有帮助的。许多物联网设备将安装在运动服的几个点上,并实时发送必要的数据进行评估。本文将探讨一种通过肌电图和表面肌电图测量肌肉力量的方法。运动员在进行活动时的力量不仅取决于肌肉活动,还取决于其他参数。因此,可以结合肌电图、BMI、心率和血压数据来预测运动员的肌肉力量,以支持这一预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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