Automated meal detection from continuous glucose monitor data through simulation and explanation
Sign Up to like & getrecommendations! Published in 2019 at "Journal of the American Medical Informatics Association : JAMIA"
DOI: 10.1093/jamia/ocz159
Abstract: Abstract Background Artificial pancreas systems aim to reduce the burden of type 1 diabetes by automating insulin dosing. These systems link a continuous glucose monitor (CGM) and insulin pump with a control algorithm, but require… read more here.
Keywords: monitor; meal detection; monitor data; glucose monitor ... See more keywords
Pattern Recognition Reveals Characteristic Postprandial Glucose Changes: Non-Individualized Meal Detection in Diabetes Mellitus Type 1
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2019.2908897
Abstract: Accurate continuous glucose monitoring (CGM) is essential for fully automated glucose control in diabetes mellitus type 1. State-of-the-art glucose control systems automatically regulate the basal insulin infusion. Users still need to manually announce meals to… read more here.
Keywords: diabetes mellitus; glucose; mellitus type; meal detection ... See more keywords
196-OR: A Meal Detection Algorithm for the Artificial Pancreas: A Randomized Controlled Clinical Trial in Adolescents with Type 1 Diabetes
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DOI: 10.2337/db20-196-or
Abstract: Background: People with type 1 diabetes occasionally forget to announce meals to their insulin pump, which degrades glycemic control. We have developed a meal detection algorithm for the artificial pancreas (AP) that detects unannounced meals… read more here.
Keywords: algorithm artificial; detection; type diabetes; detection algorithm ... See more keywords