Meal and Physical Activity Detection from Free-living Data for Discovering Disturbance Patterns to Glucose Levels in People with Diabetes

OBJECTIVE: Interpretation of time series data collected in free-living has gained importance in chronic disease management. Some data are collected objectively from sensors and some are estimated and entered by the individual. In type 1 diabetes (T1D), blood glucose concentration (BGC) data measured...

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Detalles Bibliográficos
Autores principales: Askari, Mohammad Reza, Rashid, Mudassir, Sun, Xiaoyu, Sevil, Mert, Shahidehpour, Andrew, Kawaji, Keigo, Cinar, Ali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10038808/
https://www.ncbi.nlm.nih.gov/pubmed/36968645
http://dx.doi.org/10.3390/biomedinformatics2020019

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10038808/
https://www.ncbi.nlm.nih.gov/pubmed/36968645
http://dx.doi.org/10.3390/biomedinformatics2020019

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