ANALYSIS AND PROCESSING OF ELECTROMYOGRAM SIGNALS

Zimenko Konstantin A., Borgul Alexander S, Margun Alexei A.

2013 , VOLUME 13, NUMBER 1 ( January-February )

ISSN 2226-1494 (print), ISSN 2500-0373 (online)

Publications

Editor-in-Chief

Nikiforov
Vladimir O.
D.Sc., Prof.

Partners

ANALYSIS AND PROCESSING OF ELECTROMYOGRAM SIGNALS

K. A. Zimenko, A. S. Borgul, A. A. Margun

Read the full article

Abstract

A method of electromyogram signals processing and identification for implementation in rehabilitation devices control is given. The method is based on the high-frequency components filtration which improves the signal/noise ratio; also it is based on the wavelet analysis for signal preprocessing and motion type classification by taught artificial neural network. Obtained accuracy of motion type classification is 94%.

Keywords: electromyogram, neural network, signal processing, wavelet transform

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License