By the same authors

From the same journal

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

Research output: Contribution to journal › Article › peer-review

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A New Evolutionary Algorithm-Based Home Monitoring Device for Parkinson’s Dyskinesia. / Lones, Michael A.; Alty, Jane E.; Cosgrove, Jeremy; Duggan-Carter, Philippa; Jamieson, Stuart; Naylor, Rebecca F.; Turner, Andrew J.; Smith, Stephen L.

In: Journal of medical systems, Vol. 41, No. 11, 176, 25.09.2017, p. 176.

Research output: Contribution to journal › Article › peer-review

Harvard

Lones, MA, Alty, JE, Cosgrove, J, Duggan-Carter, P, Jamieson, S, Naylor, RF, Turner, AJ & Smith, SL 2017, 'A New Evolutionary Algorithm-Based Home Monitoring Device for Parkinson’s Dyskinesia', Journal of medical systems, vol. 41, no. 11, 176, pp. 176. https://doi.org/10.1007/s10916-017-0811-7

APA

Lones, M. A., Alty, J. E., Cosgrove, J., Duggan-Carter, P., Jamieson, S., Naylor, R. F., Turner, A. J., & Smith, S. L. (2017). A New Evolutionary Algorithm-Based Home Monitoring Device for Parkinson’s Dyskinesia. Journal of medical systems, 41(11), 176. [176]. https://doi.org/10.1007/s10916-017-0811-7

Vancouver

Lones MA, Alty JE, Cosgrove J, Duggan-Carter P, Jamieson S, Naylor RF et al. A New Evolutionary Algorithm-Based Home Monitoring Device for Parkinson’s Dyskinesia. Journal of medical systems. 2017 Sep 25;41(11):176. 176. https://doi.org/10.1007/s10916-017-0811-7

Author

Lones, Michael A. ; Alty, Jane E. ; Cosgrove, Jeremy ; Duggan-Carter, Philippa ; Jamieson, Stuart ; Naylor, Rebecca F. ; Turner, Andrew J. ; Smith, Stephen L. / A New Evolutionary Algorithm-Based Home Monitoring Device for Parkinson’s Dyskinesia. In: Journal of medical systems. 2017 ; Vol. 41, No. 11. pp. 176.

Bibtex - Download

@article{8c8e55e6dcd94c74bba6f9876b77b11f,
title = "A New Evolutionary Algorithm-Based Home Monitoring Device for Parkinson{\textquoteright}s Dyskinesia",
abstract = "Parkinson{\textquoteright}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{\textquoteright}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.",
keywords = "Dyskinesia, Genetic programming, Home monitoring, Parkinson{\textquoteright}s disease",
author = "Lones, {Michael A.} and Alty, {Jane E.} and Jeremy Cosgrove and Philippa Duggan-Carter and Stuart Jamieson and Naylor, {Rebecca F.} and Turner, {Andrew J.} and Smith, {Stephen L.}",
note = "{\textcopyright} The Author(s) 2017",
year = "2017",
month = sep,
day = "25",
doi = "10.1007/s10916-017-0811-7",
language = "English",
volume = "41",
pages = "176",
journal = "Journal of medical systems",
issn = "0148-5598",
publisher = "Springer New York",
number = "11",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - A New Evolutionary Algorithm-Based Home Monitoring Device for Parkinson’s Dyskinesia

AU - Lones, Michael A.

AU - Alty, Jane E.

AU - Cosgrove, Jeremy

AU - Duggan-Carter, Philippa

AU - Jamieson, Stuart

AU - Naylor, Rebecca F.

AU - Turner, Andrew J.

AU - Smith, Stephen L.

N1 - © The Author(s) 2017

PY - 2017/9/25

Y1 - 2017/9/25

N2 - 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.

AB - 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.

KW - Dyskinesia

KW - Genetic programming

KW - Home monitoring

KW - Parkinson’s disease

UR - http://www.scopus.com/inward/record.url?scp=85029848571&partnerID=8YFLogxK

U2 - 10.1007/s10916-017-0811-7

DO - 10.1007/s10916-017-0811-7

M3 - Article

C2 - 28948460

AN - SCOPUS:85029848571

VL - 41

SP - 176

JO - Journal of medical systems

JF - Journal of medical systems

SN - 0148-5598

IS - 11

M1 - 176

ER -

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