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Parkinson’s disease (PD) is a neurodegenerative movement disorder. Although there is no cure, symptomatic treatments are available and can significantly improve quality of life. The motor, or movement, features of PD are caused by reduced production of the neurotransmitter dopamine. Dopamine deficiency is most often treated using dopamine replacement therapy. However, this therapy can itself lead to further motor abnormalities referred to as dyskinesia. Dyskinesia consists of involuntary jerking movements and muscle spasms, which can often be violent. To minimise dyskinesia, it is necessary to accurately titrate the amount of medication given and monitor a patient’s movements. In this paper, we describe a new home monitoring device that allows dyskinesia to be measured as a patient goes about their daily activities, providing information that can assist clinicians when making changes to medication regimens. The device uses a predictive model of dyskinesia that was trained by an evolutionary algorithm, and achieves AUC>0.9 when discriminating clinically significant dyskinesia.

Item Type:	Refereed Article
Keywords:	neurology, neurodegenerative, evolutionary algorithms, Parkinson's
Research Division:	Biomedical and Clinical Sciences
Research Group:	Clinical sciences
Research Field:	Geriatrics and gerontology
Objective Division:	Health
Objective Group:	Clinical health
Objective Field:	Clinical health not elsewhere classified
UTAS Author:	Alty, JE (Associate Professor Jane Alty)
ID Code:	133240
Year Published:	2017
Web of Science® Times Cited:	10
Deposited By:	Wicking Dementia Research and Education Centre
Deposited On:	2019-06-19
Last Modified:	2022-08-29
Downloads:	27 View Download Statistics