Wearable sensors for Parkinson’s disease: which data are worth collecting for training symptom detection models

Machine learning algorithms that use data streams captured from soft wearable sensors have the potential to automatically detect PD symptoms and inform clinicians about the progression of disease. However, these algorithms must be trained with annotated data from clinical experts who can recognize s...

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Опубликовано в: :NPJ Digit Med
Главные авторы: Lonini, Luca, Dai, Andrew, Shawen, Nicholas, Simuni, Tanya, Poon, Cynthia, Shimanovich, Leo, Daeschler, Margaret, Ghaffari, Roozbeh, Rogers, John A., Jayaraman, Arun
Формат: Artigo
Язык:Inglês
Опубликовано: Nature Publishing Group UK 2018
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Article
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC6550186/
https://ncbi.nlm.nih.gov/pubmed/31304341
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41746-018-0071-z
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