Modelling Gait Syndrome in Huntington's Disease: The Genetic Algorithm Approach
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Date
2017
Authors
Ajibola, O.O.E.
Ogunwolu, L.
Journal Title
Journal ISSN
Volume Title
Publisher
Nigerian Journal of Technology
Abstract
Huntington’s disease (HD) which usually affects the patients at middle age results from malfunctioning of the basal
ganglia. It is characterized by cognitive impairment, involuntary movements, neuropsychiatric and psychological
disturbances. Early motor signs of Huntington’s disease typically include the gradual onset of clumsiness, balance
difficulties, and brief, random, fidgeting movements. A popular approach to solving symptoms arising from HD has been
through the administration of drugs. But drugs debase human activities, thus the application of electroconvulsive
therapy. This work proposes a genetic algorithmic (GA) simulation of chorea in HD patient as a pedestal for the design of
a therapeutic device aimed at managing the phenomenon. Earlier efforts have led us to the formulation of such models in
recent past. We also compared the GA model with our foremost effort: the electromechanical model, and we observe that
the GA model adequately capture the physiological presentation of gait phenomenon in Huntington’s disease.
Description
Keywords
basal ganglia; chorea; genetic algorithm; Huntington’s disease; mutant allele
Citation
Ajibola, O. O. E., & Ogunwolu, L. (2017). Modelling Gait Syndrome in Huntington's Disease: The Genetic Algorithm Approach. Nigerian Journal of Technology, 36(3), 930-935.