Comparison between PSD, FFT& Wavelet Transform methods for classification of Electromyography (EMG) Signals

Electromyography (EMG) signals are ending up being dynamically huge in various objectives together with medical, biological, orthotic, automation, and recuperation gadget, coordinated efforts, to say the very least. In any case, boisterous EMG signals are the huge impediments to be vanquished to achieve additionally created execution in the above applications. Distinguishing proof, taking care of, and portrayal assessment in electromyography (EMG) is really alluring on the grounds that it permits a more normalized and definite assessment of the neurophysiological, habitational, and assistive mechanical disclosures. EMG signals procured from muscles require progressed strategies for recognition, decay, handling, and arrangement. There are so many methods that have been invented for classification of these signals earlier but still it is a challenging task among us to find out best method for that. The motivation behind this manuscript is to delineate the different procedures and calculations for EMG signal investigation to give productive and powerful approaches to figuring out the sign and its temperament.