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

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 deficie...

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Publicado en:Journal of Medical Systems Vol. 41; no. 11; pp. 1 - 9
Autores principales: Lones, Michael, Alty, Jane, Cosgrove, Jeremy, Duggan-Carter, Philippa, Jamieson, Stuart, Naylor, Rebecca, Turner, Andrew, Smith, Stephen
Formato: pictorial research tables/charts Journal Article
Publicado: Springer Nature Nov2017
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Nov2017
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      pub: Springer Nature
      place: New York, New York
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        10.1007/s10916-017-0811-7
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        atl: A New Evolutionary Algorithm-Based Home Monitoring Device for Parkinson's Dyskinesia.
      aug:
        au:
          Lones, Michael
          Alty, Jane
          Cosgrove, Jeremy
          Duggan-Carter, Philippa
          Jamieson, Stuart
          Naylor, Rebecca
          Turner, Andrew
          Smith, Stephen
        affil: School of Mathematical and Computer Sciences , Heriot-Watt University , Edinburgh UK
      sug:
        subj:
          Parkinson Disease
          Dyskinesias
          Algorithms
          Human
          Monitoring, Physiologic
          Home Health Care
          Dopamine
          Quality of Life
      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.
      pubtype: Academic Journal
      doctype:
        pictorial
        research
        tables/charts
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      ougenre: Article
    language: English
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