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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...
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. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
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 |
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