A Deep Learning Framework for Automatic Meal Detection and Estimation in Artificial Pancreas Systems

Current artificial pancreas (AP) systems are hybrid closed-loop systems that require manual meal announcements to manage postprandial glucose control effectively. This poses a cognitive burden and challenge to users with T1D since this relies on frequent user engagement to maintain tight glucose con...

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Detalles Bibliográficos
Autores principales: Daniels, John, Herrero, Pau, Georgiou, Pantelis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8781086/
https://www.ncbi.nlm.nih.gov/pubmed/35062427
http://dx.doi.org/10.3390/s22020466

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8781086/
https://www.ncbi.nlm.nih.gov/pubmed/35062427
http://dx.doi.org/10.3390/s22020466

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