Different Techniques for Electromyogram Signal Processing

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 will provide the comprehensive review on EMG signals based on different datasets and the overall components and methods are discussed for future approaches.