Electromyography signals analysis using wavelet transform approach for resistance band rehabilitation

Electromyography (EMG) signals analysis is one of the important techniques to investigate rehabilitation exercises. However, the signal is highly nonlinear that required appropriate method to extract the accurate features. This paper presents an analysis of the EMG signals of human biceps brachii muscle that is applied in resistance band rehabilitation. There are three level of movements during the rehabilitation exercise where the EMG signals will be recorded during contraction condition of the biceps brachii muscle. In the experimental works, EMG signals are acquired by using wavelet transform approach to analyze the rehabilitation process. It is found that the proposed technique is capable to represent the EMG signals effectively as one of the significant feature extraction.