Title: Artificial neural network simulation of arm gait of Huntington disease patient

Authors: O.O.E. Ajibola, V.O.S. Olunloyo, O. Ibidapo-Obe

Addresses: Department of Systems Engineering, Faculty of Engineering, University of Lagos, Akoka, Yaba, Lagos 234(01), Nigeria. ' Department of Systems Engineering, Faculty of Engineering, University of Lagos, Akoka, Yaba, Lagos 234(01), Nigeria. ' Department of Systems Engineering, Faculty of Engineering, University of Lagos, Akoka, Yaba, Lagos 234(01), Nigeria

Abstract: Huntington|s disease (HD) is an autosomal dominant neurodegenerative disease which usually affects the patients at middle age. Early motor signs of Huntington|s disease typically include the gradual onset of clumsiness, balance difficulties, and brief, random, fidgeting movements. This work is our attempt to promote a better understanding of the chorea associated with HD by carrying out an artificial neural network (ANN) simulation of the arm gait of an HD patient.

Keywords: arm gait; artificial neural networks; ANNs; simulation; chorea; Huntington|s disease; balance difficulties; autosomal dominant; neurodegenerative diseases; clumsiness; fidgeting movements.

DOI: 10.1504/IJBBR.2011.040031

International Journal of Biomechatronics and Biomedical Robotics, 2011 Vol.1 No.3, pp.133 - 140

Published online: 12 May 2011 *

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