Wrist accelerometry and machine learning sensitively capture disease progression in prodromal Parkinson’s disease
Abstract Sensitive motor measures are needed to support trials in Parkinson’s disease (PD). Wrist sensor data was collected continuously at home from 269 individuals with PD (106 with prodromal PD). Submovements were smaller, slower, and less variable in PD and prodromal PD. A machine-learned compos...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-06-01
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| Series: | npj Parkinson's Disease |
| Online Access: | https://doi.org/10.1038/s41531-025-01034-8 |
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