Identification of motor progression in Parkinson’s disease using wearable sensors and machine learning
Abstract Wearable devices offer the potential to track motor symptoms in neurological disorders. Kinematic data used together with machine learning algorithms can accurately identify people living with movement disorders and the severity of their motor symptoms. In this study we aimed to establish w...
Main Authors: | , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-10-01
|
Series: | npj Parkinson's Disease |
Online Access: | https://doi.org/10.1038/s41531-023-00581-2 |