Model predictive control with sub-frequency actuation for long acting insulin treatment in type 2 diabetes

Tinna Björk Aradóttir, Dimitri Boiroux, Henrik Bengtsson, John Bagterp Jørgensen, Niels Kjølstad Poulsen

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Type 2 diabetes (T2D) accounts for 90% of the diabetes patients, and more than 60% of patients on insulin fail to reach treatment targets. The main reasons include low adherence to treatment, caused by, among other reasons, complexity and fear of overdosing. In insulin titration, pre-breakfast SMBG measurements are used for dose calculations. However, glucose values may be lower between the daily SMBG measurements. Not considering this may lead to over-titration. We propose a dose guidance algorithm to identify individualized optimal dosing of long acting insulin for T2D patients. We use a compartment model of fasting glucose and long acting insulin dynamics in T2D to develop a model predictive control (MPC) based decision support system. To promote safety, the controller optimizes the daily dose based on predicted fasting glucose values with faster sampling than available data allows. We test the performance of the controller with respect to safety and efficacy in a simplified in silico environment and compare the results with standard of care dose guidance. The aim of this paper is to illustrate the importance of fast sampling in prediction between the slow input samples. This importance is observable in the results, which are indicative of the potential of such an approach.
Original languageEnglish
Title of host publicationProceedings of 2019 IEEE Conference on Control Technology and Applications
PublisherIEEE
Publication date2019
Pages914-919
ISBN (Print)9781728127675
DOIs
Publication statusPublished - 2019
Event2019 IEEE Conference on Control Technology and Applications (CCTA) - City University of Hong Kong, Hong Kong, China
Duration: 19 Aug 201921 Aug 2019
Conference number: 3
https://ccta2019.ieeecss.org/

Conference

Conference2019 IEEE Conference on Control Technology and Applications (CCTA)
Number3
LocationCity University of Hong Kong
CountryChina
CityHong Kong
Period19/08/201921/08/2019
Internet address

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