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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Principais autores:	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
Formato:	Artigo
Idioma:	Inglês
Publicado:	Frontiers Media S.A. 2026-02-01
Series:	Frontiers in Aging Neuroscience
Assuntos:	digital mobility outcomes Gaussian Mixture Modeling GPS context machine learning Parkinson’s real-world gait
Acceso en liña:	https://www.frontiersin.org/articles/10.3389/fnagi.2026.1746429/full
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