Computational approaches for understanding the diagnosis and treatment of Parkinson's disease

This study describes how the application of evolutionary algorithms (EAs) can be used to study motor function in humans with Parkinson's disease (PD) and in animal models of PD. Human data is obtained using commercially available sensors via a range of non‐invasive procedures that follow conven...

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Pubblicato in:IET Syst Biol
Autori principali: Smith, Stephen L., Lones, Michael A., Bedder, Matthew, Alty, Jane E., Cosgrove, Jeremy, Maguire, Richard J., Pownall, Mary Elizabeth, Ivanoiu, Diana, Lyle, Camille, Cording, Amy, Elliott, Christopher J.H.
Natura: Artigo
Lingua:Inglês
Pubblicazione: The Institution of Engineering and Technology 2015
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Articles
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC4655444/
https://ncbi.nlm.nih.gov/pubmed/26577157
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1049/iet-syb.2015.0030
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