EMG SIGNAL CLASSIFICATION USING WAVELET TRANSFORM AND FUZZY CLUSTERING ALGORITHMS Yücel

The electromyographic (EMG) signals can be used as a control source of artificial limbs after it has been processed. The objective of this work is to achieve better classification for four different movements of a prosthetic limb making a time-frequency analysis of EMG signals which covers a feature extraction tools in the problem of the EMG signals while investigating the related dimensionality reduction and fuzzy classification.