Analysis of EMG Signals using Feed forward Neural Network
Abstract
Electromyography (EMG) is one of the wide areas in the medical field, to analyze the biological signals for detecting the movements of muscles. The major studies based on to recorded electrical signal which helps to diagnose the conditions of muscle disorders. Further, EMG is used for prosthesis control, rehabilitation for clinical diagnosis and the electrical signals are generated to control and activate the myoelectric artificial prosthetic arm.However, this paper provides a comprehensive review on EMG signals with different datasets and experimental results are extracted from Feed forward Neural Network (FNN) for future approaches.