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الباحثون

Yousif, Hayder A.
Zakaria, Ammar
Rahim, Norasmadi Abdul
Salleh, Ahmad Faizal Bin
Mahmood, Mustafa
Alfarhan, Khudhur A.
Kamarudin, Latifah Munirah
Mamduh, Syed Muhammad
Hasan, Ali Majid
Hussain, Moaid K.

تفاصيل البحث

سنة النشر

2019


العنوان

Assessment of Muscles Fatigue Based on Surface EMG Signals Using Machine Learning and Statistical Approaches: A Review


الخلاصة

Muscle fatigue is described by the decline in muscle maximum force during contraction. The fatigue occurs in the nervous or muscle fibre cells. The nerves produce a high-frequency signal to gain the maximum contraction, but it cannot sustain the high frequency signal for a long time, and that leads to a decline in muscle force. The surface Electromyography (EMG) is the dominant method to detect muscle fatigue because the EMG signals give more information about the muscle's activities. This review discussed the EMG signal processing and the methods of detection muscles fatigue with three domains (time domain, frequency domain, and time-frequency domain) based on EMG signals that are collected from the muscles during dynamic and static movements. © Published under licence by IOP Publishing Ltd.

رابط البحث