Review on the detection of Multiple Neuromuscular Disorder Using Electromyography

Abstract

Neuromuscular Disorder contains several diseases which can affect the nervous system and they consist of all the motor and sensory nerves. Recently the computer vision system has performed a very essential function in the detection of Neuromuscular disorders. By studying EMG signal patterns, physicians provide their diagnostics; however, guide eye indicators study contains an excessive error percentage. EMG signal is the smallest electrical contemporary created by way of muscle fibers. It’s hard to find a detailed review study so our research work is to provide a detailed review about detecting the Neuromuscular disorders by using Electromyography signals through segmentation, machine learning and deep learning methods. Our research offers valuable insights and publicly available dataset information that will prove highly beneficial for future researchers.