Iranian Journal of Biomedical Engineering (IJBME)
نشریه علمی مهندسی پزشکی زیستی

Prediction of the Thumb Fingure Extensor and Flexor Muscles Desired Activation Pattern during Hand Writing and Painting Using Neural Networks

Document Type : Technical note

Authors

Sanaz Ahmadzadeh 1
Hamid Reza Kobravi 2
Saeed Tosizadeh 3

1 Msc. Student, Department of Biomedical Engineering, Islamic Azad University of Mashhad, Iran

2 Assitant Professor, Department of Biomedical Engineering, Islamic Azad University of Mashhad, Iran

3 Assitant Professor, Faculty of Engineering, Islamic Azad University of Mashhad, Iran

https://doi.org/10.22041/ijbme.2014.13293
Abstract
Multiple muscle groups may be activated simultaneously during the most of activities. So, the appropriate muscle coordination must be emerged during a normal activity. Consequaently, for rehabilitation of movements such as hand writing and paiting in patients for example suffering from carpal channel syndrom or incomplete spinal cord injury, the correct muscle coordination patterns between the finger muscles and wrist muscles must be reestablished. So, in this paper a prediction methodology based on artificial neural networks (ANN) is proposed to approximate the Thumb fingure extensor and flexor muscles desired activation pattern during the hand writing and Painting. In the presented strategy, A nonlinear auto-regressive neural network (NARX), Recurrent Neural Network (RNN), Radial Basis Function (RBF), Multy Layer Perceptron (MLP) and an Adaptive-network-based fuzzy inference system (ANFIS) are trained to forecast the Extensor pollicis longus and Flexor pollicis brevis muscles activity of one thumb finger of hand using Extensor carpi radialis brevis and Flexor carpi ulnaris muscles activity of forearm. Quantitative evaluations show the promising performance of developed neural networks. Eight healthy volunteers participated in the experiments.

Keywords

Muscle Activation Pattern
Artifitial Neural Networks
Movement Restoration
Hand Writing
Surface Electromyogram

Subjects

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Iranian Journal of Biomedical Engineering (IJBME)
Volume 8, Issue 3 - Serial Number 3
Summer 2014
Pages 293-304

  • Receive Date 18 June 2015

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