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Dergiler / Turkish Journal of Electrical Engineering and Computer Science / 1999 / Cilt: 7 - Sayı: 1-3

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

Bekir KARLIK
Sayfa
45–52
Yayın Tarihi
1999-01-01
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

At the output layer, for 5000 iterations, six movements were distinguished at a high accuracy of 97.6%.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:The aim of this study is to classify electromyogram (EMG) signals for controlling multifunction proshetic devices.
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Temel Bulgular & Veri: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.
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Sonuç & Katkı:At the output layer, for 5000 iterations, six movements were distinguished at a high accuracy of 97.6%.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Myoelectric signals · artificial neural networks · classification

Özet

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%.

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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Bu Makaleye Atıf Yap

KARLIK, B. (1999). Differentiating Type of Muscle Movement via AR Modeling and Neural Network Classification. Turkish Journal of Electrical Engineering and Computer Science, Cilt: 7 - Sayı: 1-3, 45–52. https://ajindex.com/articles/189214

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