Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Observational Study of Glycemic Impact of Anticipatory and Early-Race Athletic Competition Stress in Type 1 Diabetes
por: Hobbs, Nicole, et al.
Publicado: (2022) -
Modeling glucose and free fatty acid kinetics in glucose and meal tolerance test
por: Li, Yanjun, et al.
Publicado: (2016) -
Home-Living Elderly People's Views on Food and Meals
por: Edfors, Ellinor, et al.
Publicado: (2012) -
Assessment of Seasonal Stochastic Local Models for Glucose Prediction without Meal Size Information under Free-Living Conditions
por: Prendin, Francesco, et al.
Publicado: (2022) -
Prandial Insulin and the Systemic Appearance of Meal-Derived Glucose in People With Type 1 Diabetes
por: Vella, Adrian, et al.
Publicado: (2008)