Artificial neural network simulation of arm gait of Huntington disease patient

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.