Abstract
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. Keywords— Muscle fatigue, EMG, MMG, AMG I. I NTRODUCTION Muscle fatigue is a common muscle condition which experience in our daily activity. Muscle fatigue is defined as a failure to maintain or provided desired muscle strength [1] . Fatigue causes decline in force during sustained and isotonic contraction [2] . Assessment muscle fatigue is important in areas such as sports medicine, clinical analysis of neuromuscular disease and ergonomics. According to Gregory C. Bogdanis, seven factors affect muscle fatigue
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