Automatic Classification of Tremor Severity in Parkinson’s Disease Using a Wearable Device

Although there is clinical demand for new technology that can accurately measure Parkinsonian tremors, automatic scoring of Parkinsonian tremors using machine-learning approaches has not yet been employed. This study aims to fill this gap by proposing machine-learning algorithms as a way to predict...

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Detalles Bibliográficos
Autores principales: Jeon, Hyoseon, Lee, Woongwoo, Park, Hyeyoung, Lee, Hong Ji, Kim, Sang Kyong, Kim, Han Byul, Jeon, Beomseok, Park, Kwang Suk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5621347/
https://www.ncbi.nlm.nih.gov/pubmed/28891942
http://dx.doi.org/10.3390/s17092067

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5621347/
https://www.ncbi.nlm.nih.gov/pubmed/28891942
http://dx.doi.org/10.3390/s17092067

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