Uncovering personalized glucose responses and circadian rhythms from multiple wearable biosensors with Bayesian dynamical modeling

Wearable biosensors and smartphone applications can measure physiological variables over multiple days in free-living conditions. We measure food and drink ingestion, glucose dynamics, physical activity, heart rate (HR), and heart rate variability (HRV) in 25 healthy participants over 14 days. We de...

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Detalles Bibliográficos
Autores principales: Phillips, Nicholas E., Collet, Tinh-Hai, Naef, Felix
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10475794/
https://www.ncbi.nlm.nih.gov/pubmed/37671030
http://dx.doi.org/10.1016/j.crmeth.2023.100545

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10475794/
https://www.ncbi.nlm.nih.gov/pubmed/37671030
http://dx.doi.org/10.1016/j.crmeth.2023.100545

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