Emg Signal Classification Using Wavelet Transform and Fuzzy Clustering Algorithms
نویسندگان
چکیده
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.
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