A New Evolutionary Algorithm-Based Home Monitoring Device for Parkinson's Dyskinesia.

Abstract:

: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.

journal_name

J Med Syst

authors

Lones MA,Alty JE,Cosgrove J,Duggan-Carter P,Jamieson S,Naylor RF,Turner AJ,Smith SL

doi

10.1007/s10916-017-0811-7

subject

Has Abstract

pub_date

2017-09-25 00:00:00

pages

176

issue

11

eissn

0148-5598

issn

1573-689X

pii

10.1007/s10916-017-0811-7

journal_volume

41

pub_type

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