Effects of everyday life events on glucose, insulin, and glucagon dynamics in continuous subcutaneous insulin infusion-treated type 1 diabetes: collection of clinical data for glucose modeling

Research output: Contribution to journalJournal articleResearchpeer-review

Signe Damkjær Schmidt, Daniel Aaron Finan, Anne Katrine Duun-Henriksen, John Bagterp Jørgensen, Henrik Madsen, Henrik Bengtsson, Jens Juul Holst, Sten Madsbad, Kirsten Nørgaard

In the development of glucose control algorithms, mathematical models of glucose metabolism are useful for conducting simulation studies and making real-time predictions upon which control calculations can be based. To obtain type 1 diabetes (T1D) data for the modeling of glucose metabolism, we designed and conducted a clinical study.
Original languageEnglish
JournalDiabetes Technology & Therapeutics
Issue number3
Pages (from-to)210-217
Number of pages8
Publication statusPublished - 2012

    Research areas

  • Activities of Daily Living, Adult, Blood Glucose, Denmark, Diabetes Mellitus, Type 1, Dietary Carbohydrates, Exercise Test, Female, Glucagon, Heart Rate, Hemoglobin A, Glycosylated, Humans, Hypoglycemic Agents, Infusions, Subcutaneous, Insulin, Insulin Infusion Systems, Male, Middle Aged, Models, Theoretical

ID: 40176675