Localized Muscle Fatigue Prediction and Detection Using Surface Electromyography: A Review Study

Abstract

Detection of muscle fatigue is present in many fields, from the training of athletes and the aid in rehabilitation to the control of prosthetics. It can be considered ongoing research aiming to understand the human body and aid in protecting it. Fatigue itself can’t be measured directly but can be detected through other means, for example, electromyography, more specifically surface electromyography (sEMG), which is considered a noninvasive and easy-to-use tool. There are various studies on sEMG and its use in detecting muscle fatigue.  This study presents a closer look at the application of sEMG in muscle fatigue detection, as well as the specifications required when dealing with it, such as muscle signal preprocessing, analysis methods, and post-processing, including feature extraction. This research serves as a simple guide for individuals that are new to this topic, enabling them to have a comprehensive view about it.