JRM Vol.19 No.4 pp. 381-387
doi: 10.20965/jrm.2007.p0381


A Prosthetic Hand Control Based on Nonstationary EMG at the Start of Movement

Masakatsu Tsukamoto*, Toshiyuki Kondo**, and Koji Ito***

*NTT DoCoMo R&D Center, 3-5 Hikarino-oka, Yokosuka-shi, Kanagawa 239-8536, Japan

**Department of Computer, Information and Communication Sciences, Tokyo University of Agriculture and Technology, 2-24-16 Naka-cho, Koganei, Tokyo 184-8588, Japan

***Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, 4259-G3-50 Nagatsuta, Midori-ku, Yokohama 226-8502, Japan

January 11, 2007
April 12, 2007
August 20, 2007
nonstationary electromyogram, prosthetic hand, neural network, EMG

We propose using a multiple neural network to determine the movement intended by an amputee from electromyogram (EMG) signals. Most previous approaches to the discrimination of movement using EMG signals have required EMG data with a relative long period exceeding 200 ms. Our approach enables the amputee’s intended movement to be determined from among six limb functions based on EMG signals using an initial rise zone 70 ms long. Experiments with four subjects and four electrode locations demonstrated that our proposal determines six forearm movements at a discrimination rate exceeding than 90%.

Cite this article as:
M. Tsukamoto, T. Kondo, and K. Ito, “A Prosthetic Hand Control Based on Nonstationary EMG at the Start of Movement,” J. Robot. Mechatron., Vol.19, No.4, pp. 381-387, 2007.
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Last updated on Dec. 02, 2020