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...

Descripción completa

Detalles Bibliográficos
Autores principales: Lonini, Luca, Dai, Andrew, Shawen, Nicholas, Simuni, Tanya, Poon, Cynthia, Shimanovich, Leo, Daeschler, Margaret, Ghaffari, Roozbeh, Rogers, John A., Jayaraman, Arun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6550186/
https://www.ncbi.nlm.nih.gov/pubmed/31304341
http://dx.doi.org/10.1038/s41746-018-0071-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6550186/
https://www.ncbi.nlm.nih.gov/pubmed/31304341
http://dx.doi.org/10.1038/s41746-018-0071-z

Ejemplares similares