Incorporating Unannounced Meals and Exercise in Adaptive Learning of Personalized Models for Multivariable Artificial Pancreas Systems

BACKGROUND: Despite the recent advancements in the modeling of glycemic dynamics for type 1 diabetes mellitus, automatically considering unannounced meals and exercise without manual user inputs remains challenging. METHOD: An adaptive model identification technique that incorporates exercise inform...

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Detalhes bibliográficos
Publicado no:J Diabetes Sci Technol
Main Authors: Hajizadeh, Iman, Rashid, Mudassir, Turksoy, Kamuran, Samadi, Sediqeh, Feng, Jianyuan, Sevil, Mert, Hobbs, Nicole, Lazaro, Caterina, Maloney, Zacharie, Littlejohn, Elizabeth, Cinar, Ali
Formato: Artigo
Idioma:Inglês
Publicado em: SAGE Publications 2018
Assuntos:
Special Section: Control Limitations in Models of T1DM and the Robustness of Optimal Insulin Delivery
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6134614/
https://ncbi.nlm.nih.gov/pubmed/30060699
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/1932296818789951
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