Non-invasive techniques to assess muscle fatigue using biosensors: A review

Mohamed Sarillee, M. Hariharan, M. N. Anas, M. Omar, M. Aishah, Q. W. Oung
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引用次数: 9

Abstract

Muscle fatigue is a common muscle condition which experiences in our daily activity. Muscle fatigue occur when the muscle fail to provide expected force. Electromyography (EMG) has commonly been used to detect muscle fatigue. Effort has been made to improve the current detection using different Myography. Mechanomyogram (MMG) and acoustic myogram (AMG) were used to record mechanical activity of the muscle, which is a useful parameter to detect muscle fatigue. This review discusses the on existing myogram and various signal processing methods and techniques that have been applied. Towards the end of the paper, challenges and future trends are discussed.
利用生物传感器评估肌肉疲劳的无创技术综述
肌肉疲劳是我们日常活动中常见的肌肉状况。当肌肉不能提供预期的力量时,就会出现肌肉疲劳。肌电图(EMG)通常用于检测肌肉疲劳。人们已经努力改进目前使用不同肌图的检测方法。机械肌图(Mechanomyogram, MMG)和声学肌图(acoustic myogram, AMG)记录了肌肉的机械活动,是检测肌肉疲劳的有效参数。本文对现有的肌图及各种信号处理方法和技术进行了综述。在论文的最后,讨论了挑战和未来的趋势。
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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