Skip to main navigation Skip to search Skip to main content

Model-based closed-loop glucose control in type 1 diabetes: the DiaCon experience

Signe Schmidt, Dimitri Boiroux, Anne Katrine Duun-Henriksen, Laurits Frøssing, Ole Skyggebjerg, John Bagterp Jørgensen, Niels Kjølstad Poulsen, Henrik Tækker Madsen, Sten Madsbad, Kirsten Nørgaard

33 Citations (Scopus)

Abstract

To improve type 1 diabetes mellitus (T1DM) management, we developed a model predictive control (MPC) algorithm for closed-loop (CL) glucose control based on a linear second-order deterministic-stochastic model. The deterministic part of the model is specified by three patient-specific parameters: insulin sensitivity factor, insulin action time, and basal insulin infusion rate. The stochastic part is identical for all patients but identified from data from a single patient. Results of the first clinical feasibility test of the algorithm are presented.
Original languageEnglish
JournalJournal of diabetes science and technology
Volume7
Issue number5
Pages (from-to)1255-64
Number of pages10
ISSN1932-2968
Publication statusPublished - Sept 2013

Fingerprint

Dive into the research topics of 'Model-based closed-loop glucose control in type 1 diabetes: the DiaCon experience'. Together they form a unique fingerprint.

Cite this