Paper Info
Title
Model Predictive Control With Sub-Frequency Actuation For Long Acting Insulin Treatment In Type 2 Diabetes
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.
Year
DOI
Venue
2019
10.1109/CCTA.2019.8920633
2019 3RD IEEE CONFERENCE ON CONTROL TECHNOLOGY AND APPLICATIONS (IEEE CCTA 2019)
Field
DocType
Citations 
Diabetes mellitus,Control theory,Type 2 diabetes,Model predictive control,Standard of care,Physical medicine and rehabilitation,Insulin,Dosing,Medicine,Long acting insulin
Conference
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Tinna B. Aradóttir100.34
dimitri boiroux235.22
Henrik Bengtsson300.34
John Bagterp Jørgensen4112.83
Niels Kjølstad Poulsen500.34