Neural network application to a discrimination system for EMG-controlled prostheses

Author

Nishikawa, Kaduhiko ; Kuribayashi, Katsutoshi

Author_Institution

Teijin Ltd., Hiroshimaken, Japan

fYear

1991

fDate

3-5 Nov 1991

Firstpage

231

Abstract

A discrimination system using a neural network for the EMG controlled externally powered upper extremity prosthesis (EMG-C-EPUP) is proposed. The neural network is used in this system to learn the relation between the power spectrum of EMG signal analyzed by fast Fourier transform and the performance desired by the handicapped. The neural network has three layers: the input layer, the middle layer, and the output layer. It is shown that the discrimination system with the neural network could discriminate 7 performances from the EMG signals with the probability of 0.61 simultaneously

Keywords

artificial limbs; bioelectric potentials; computerised signal processing; fast Fourier transforms; muscle; neural nets; spectral analysis; EMG signal; EMG-C-EPUP; EMG-controlled prostheses; discrimination system; externally powered upper extremity prosthesis; fast Fourier transform; neural network; power spectrum; Control systems; Electrodes; Electromyography; Extremities; Muscles; Neural networks; Neural prosthesis; Prosthetics; Road accidents; Signal detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Robots and Systems '91. 'Intelligence for Mechanical Systems, Proceedings IROS '91. IEEE/RSJ International Workshop on

Conference_Location

Osaka

Print_ISBN

0-7803-0067-X

Type

conf

DOI

10.1109/IROS.1991.174455

Filename

174455