Denoising of EMG Signals Based on Wavelet Transform

Wavelet analysis is often very effective because it provides a simple approach for dealing with local aspects of a signal. Electromyography (EMG) signals can be used for clinical/biomedical applications, Evolvable Hardware Chip (EHW) development, and modern human computer interaction. EMG signals acquired from muscles require advanced methods for detection, decomposition, processing, and classification. In this paper, Wavelet transform (WT) has been applied for removing noise from the surface EMG. To fully understand the concept of WT, Matlab Simulation was used for sEMG data was collected from