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; Yukinori Kakazu

doi:10.20965/jrm.2002.p0573

single-rb.php

« previous

JRM Vol.14 No.6 pp. 573-580

doi: 10.20965/jrm.2002.p0573

(2002)

Paper:

Views over last 60 days: 501

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, 2002

Accepted:

August 20, 2002

Published:

December 20, 2002

Keywords:

EMG, conditional information entropy, SOM, pattern recognition, and multichannel signal processing

Abstract

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:

This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.