Differentiating Type of Muscle Movement via AR Modeling and Neural Network Classification

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Turkish Journal of Electrical Engineering and Computer Science
Volume:7 Issue:1-3
Differentiating Type of Muscle Movement via AR Modeling and Neural Network Classification

Differentiating Type of Muscle Movement via AR Modeling and Neural Network Classification

Authors : Bekir KARLIK

Pages : 45-52

View : 18 | Download : 10

Publication Date : 0000-00-00

Article Type : Research Paper

Abstract :The aim of this study is to classify electromyogram insert ignore into journalissuearticles values(EMG); signals for controlling multifunction proshetic devices. An artificial neural network insert ignore into journalissuearticles values(ANN); implementation was used for this purpose. Autoregressive insert ignore into journalissuearticles values(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%.
Keywords : Myoelectric signals, artificial neural networks, classification

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