Artificial intelligence for non-invasive glycaemic-events detection via ECG in a paediatric population: study protocol

PURPOSE: Paediatric Type 1 Diabetes (T1D) patients are at greater risk for developing severe hypo and hyperglycaemic events due to poor glycaemic control. To reduce the risk of adverse events, patients need to achieve the best possible glycaemic management through frequent blood glucose monitoring w...

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Detalles Bibliográficos
Autores principales: Andellini, Martina, Haleem, Salman, Angelini, Massimiliano, Ritrovato, Matteo, Schiaffini, Riccardo, Iadanza, Ernesto, Pecchia, Leandro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9899724/
https://www.ncbi.nlm.nih.gov/pubmed/36761922
http://dx.doi.org/10.1007/s12553-022-00719-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9899724/
https://www.ncbi.nlm.nih.gov/pubmed/36761922
http://dx.doi.org/10.1007/s12553-022-00719-x

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