High-Resolution Motor State Detection in Parkinson’s Disease Using Convolutional Neural Networks

Patients with advanced Parkinson’s disease regularly experience unstable motor states. Objective and reliable monitoring of these fluctuations is an unmet need. We used deep learning to classify motion data from a single wrist-worn IMU sensor recording in unscripted environments. For validation purp...

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Detalles Bibliográficos
Autores principales: Pfister, Franz M. J., Um, Terry Taewoong, Pichler, Daniel C., Goschenhofer, Jann, Abedinpour, Kian, Lang, Muriel, Endo, Satoshi, Ceballos-Baumann, Andres O., Hirche, Sandra, Bischl, Bernd, Kulić, Dana, Fietzek, Urban M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7125162/
https://www.ncbi.nlm.nih.gov/pubmed/32246097
http://dx.doi.org/10.1038/s41598-020-61789-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7125162/
https://www.ncbi.nlm.nih.gov/pubmed/32246097
http://dx.doi.org/10.1038/s41598-020-61789-3

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