A Review on EMG Signal Classification and Applications

Electromyography (EMG) signals are muscles that enable the identification of human movements without need complex kinematics calculations. Researchers prefer EMG as input to control prosthetic arms and exoskeleton robots. However, proper algorithm classify from raw has been an interesting challenging topic researchers. Various studies have carried out produce EMG-based movement classification gives high accuracy reliability. In this paper, methods used in signal acquisition processing reviewed. The different types feature extraction techniques preferred by researchers also discussed, including some combination comparison techniques. This paper reviews classifiers favored recognize based on signals. current applications