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Differentiating Type of Muscle Movement via AR Modeling and Neural Network Classification
1999
Journal:  
Turkish Journal of Electrical Engineering and Computer Science
Author:  
Abstract:

The aim of this study is to classify electromyogram (EMG) signals for controlling multifunction proshetic devices. An artificial neural network (ANN) implementation was used for this purpose. Autoregressive (AR) parameters of a1, a2, a3, a4 and their signal power obtained from different arm muscle motions were applied to the input of ANN, which is a multilayer perceptron. At the output layer, for 5000 iterations, six movements were distinguished at a high accuracy of 97.6%.

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Turkish Journal of Electrical Engineering and Computer Science

Field :   Mühendislik

Journal Type :   Uluslararası

Metrics
Article : 2.879
Cite : 1.402
2023 Impact : 0.016
Details
Turkish Journal of Electrical Engineering and Computer Science