Evaluation of Biosignal Processing Methods for Welfare Assisting Devices - Evaluation of EMG Information Extraction Processing Using Entropy
Ryu Katoh, Daisuke Nishikawa, Wenwei Yu, Hiroshi Yokoi and Yukinori Kakazu
Hokkaido University, Kita-13 Nishi-8, Kita-ku, Sapporo, 060-8628 Japan
Received:March 28, 2002Accepted:August 20, 2002Published:December 20, 2002
Keywords:EMG, conditional information entropy, SOM, pattern recognition, and multichannel signal processing
We propose evaluation criteria for processing information extraction in discriminating motion from EMG signals. The concept involves conditional information entropy with attention to the ambiguity of information on discriminating motion. Experiments indicated a strong correlation between entropy and the discrimination rate. We evaluated the setting of signal measurement points from proposed evaluation criteria and found that measurement points could be selected.
Cite this article as:R. Katoh, D. Nishikawa, W. Yu, H. Yokoi, and Y. Kakazu, “Evaluation of Biosignal Processing Methods for Welfare Assisting Devices - Evaluation of EMG Information Extraction Processing Using Entropy,” J. Robot. Mechatron., Vol.14 No.6, pp. 573-580, 2002.Data files:
Copyright© 2002 by Fuji Technology Press Ltd. and Japan Society of Mechanical Engineers. All right reserved.