Toward an understanding of real-world mobility in Parkinson’s: insights from enhanced contextualisation using GPS-derived location and data-driven modeling of walking speed

IntroductionConventional clinical assessments do not fully capture how Parkinson’s disease (PD) affects mobility in daily life. Integrating digital mobility outcomes (DMOs) from wearable devices with GPS-derived contextual data could provide richer insight into real-world mobility, yet this approach...

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Κύριοι συγγραφείς:	Cameron Kirk, Rana Zia Ur Rehman, Brook Galna, Saverio Ranciati, Emma Packer, Neil Ireson, Vitaveska Lanfranchi, Claudia Mazzà, Lisa Alcock, Lynn Rochester, Alison J. Yarnall, Silvia Del Din
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	Frontiers Media S.A. 2026-02-01
Σειρά:	Frontiers in Aging Neuroscience
Θέματα:	digital mobility outcomes Gaussian Mixture Modeling GPS context machine learning Parkinson’s real-world gait
Διαθέσιμο Online:	https://www.frontiersin.org/articles/10.3389/fnagi.2026.1746429/full
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