Electromyography Signal Acquisition, Processing, Optimization and Its Applications

With the ever-increasing role of biomedical signals in the field of Science and technology, electromyogram approach is considered as important technique usingEMGsignals to monitor muscular activities for stress detection abnormalities and activation level and to study the biomechanics of various movements. EMG signal acquisition and the processing part are being updated day by day in terms of accuracy and artifact removal which makes the analyses part more reliable. This paper discusses the efficient EMG signal acquisition, processing, feature extraction, classification and optimization methods to attain high recognition accuracy using EMG signals.