Insulin Administration for People with Type 1 diabetes

Dimitri Boiroux; Daniel Aaron Finan; Niels Kjølstad Poulsen; Henrik Madsen; John Bagterp Jørgensen

doi:10.1016/B978-0-444-54298-4.50090-8

Insulin Administration for People with Type 1 diabetes

Dimitri Boiroux
, Daniel Aaron Finan
, Niels Kjølstad Poulsen
, Henrik Madsen
, John Bagterp Jørgensen

Center for Energy Resources Engineering

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

In this paper, we apply model predictive control (MPC) for control of blood glucose in people with type 1 diabetes. The two first control strategies are based on nonlinear model predictive control (NMPC). The first control strategy is based on meal announcement in advance, while the second one considers meal announcement at mealtimes only. They give a quantitative upper bound on the achievable control performance. The third control strategy is a feedforward-feedback control strategy. This strategy uses a time-varying setpoint to reduce the risk of hypoglycemia. The feedback controller computes the optimal basal insulin infusion rate. The feedforward controller consists of a bolus calculator. It computes the optimal bolus, along with the time-varying glucose setpoint. We test these three strategies on a virtual patient with type 1 diabetes. The numerical results demonstrate the robustness of the last control strategy with respect to changes in the model parameters and incorrect meal announcement.

Original language	English
Title of host publication	21st European Symposium on Computer-Aided Process Engineering
Number of pages	2029
Publisher	Elsevier
Publication date	2011
ISBN (Print)	978-0-444-53895-6
DOIs	https://doi.org/10.1016/B978-0-444-54298-4.50090-8
Publication status	Published - 2011
Event	21st European Symposium on Computer Aided Process Engineering - Chalkidiki, Greece Duration: 29 May 2011 → 1 Jun 2011 http://www.escape-21.gr/

Conference

Conference	21st European Symposium on Computer Aided Process Engineering
Country/Territory	Greece
City	Chalkidiki
Period	29/05/2011 → 01/06/2011
Internet address	http://www.escape-21.gr/

Series	Computer Aided Chemical Engineering
Number	29
ISSN	1570-7946

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Type 1 diabetes
Feedforward-feedback control
Nonlinear model predictive control

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10.1016/B978-0-444-54298-4.50090-8

ESCAPE-21-dibo

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title = "Insulin Administration for People with Type 1 diabetes",

abstract = "In this paper, we apply model predictive control (MPC) for control of blood glucose in people with type 1 diabetes. The two first control strategies are based on nonlinear model predictive control (NMPC). The first control strategy is based on meal announcement in advance, while the second one considers meal announcement at mealtimes only. They give a quantitative upper bound on the achievable control performance. The third control strategy is a feedforward-feedback control strategy. This strategy uses a time-varying setpoint to reduce the risk of hypoglycemia. The feedback controller computes the optimal basal insulin infusion rate. The feedforward controller consists of a bolus calculator. It computes the optimal bolus, along with the time-varying glucose setpoint. We test these three strategies on a virtual patient with type 1 diabetes. The numerical results demonstrate the robustness of the last control strategy with respect to changes in the model parameters and incorrect meal announcement.",

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note = "21st European Symposium on Computer Aided Process Engineering, ESCAPE 21 ; Conference date: 29-05-2011 Through 01-06-2011",

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Boiroux, D, Finan, DA, Poulsen, NK, Madsen, H & Jørgensen, JB 2011, Insulin Administration for People with Type 1 diabetes. in 21st European Symposium on Computer-Aided Process Engineering. Elsevier, Computer Aided Chemical Engineering, no. 29, 21st European Symposium on Computer Aided Process Engineering, Chalkidiki, Greece, 29/05/2011. https://doi.org/10.1016/B978-0-444-54298-4.50090-8

Insulin Administration for People with Type 1 diabetes. / Boiroux, Dimitri; Finan, Daniel Aaron; Poulsen, Niels Kjølstad et al.
21st European Symposium on Computer-Aided Process Engineering. Elsevier, 2011. (Computer Aided Chemical Engineering; No. 29).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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AU - Finan, Daniel Aaron

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AU - Madsen, Henrik

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AB - In this paper, we apply model predictive control (MPC) for control of blood glucose in people with type 1 diabetes. The two first control strategies are based on nonlinear model predictive control (NMPC). The first control strategy is based on meal announcement in advance, while the second one considers meal announcement at mealtimes only. They give a quantitative upper bound on the achievable control performance. The third control strategy is a feedforward-feedback control strategy. This strategy uses a time-varying setpoint to reduce the risk of hypoglycemia. The feedback controller computes the optimal basal insulin infusion rate. The feedforward controller consists of a bolus calculator. It computes the optimal bolus, along with the time-varying glucose setpoint. We test these three strategies on a virtual patient with type 1 diabetes. The numerical results demonstrate the robustness of the last control strategy with respect to changes in the model parameters and incorrect meal announcement.

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ER -

Insulin Administration for People with Type 1 diabetes

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UN SDGs

Keywords

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