A novel approach for classification of hand movements using surface EMG signals

Surface Electromyography (EMG) signals are being used in various fields including myoelectric control for prosthetic devices, human machine-interaction and other clinical and biomedical applications. EMG signals acquired through surface electrodes include various sources of noise like electrode-skin interface and electromagnetic noise etc. Therefore, accurate processing and classification of EMG signals is a challenging step in order to achieve...