Abstract
We propose a model based bolus calculator which, based on an identified model, information on the carbohydrate content of the meals and an initial single glucose measurement, computes the optimal insulin bolus dose in order to minimize the blood glucose deviations. We use a simulation model for identification of models for control and closed-loop simulations. The performance of the proposed bolus calculator is compared with a model predictive control approach which uses continuous glucose information and insulin injection. Both methods achieve comparable performance for some patients while the insulin amount, number of injections and computational complexity is significantly reduced for the bolus calculator.
| Original language | English |
|---|---|
| Title of host publication | 2014 American Control Conference, ACC 2014 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 5465-5470 |
| Number of pages | 6 |
| ISBN (Print) | 9781479932726 |
| DOIs | |
| Publication status | Published - 2014 |
| Externally published | Yes |
| Event | 2014 American Control Conference, ACC 2014 - Portland, OR, United States Duration: 4 Jun 2014 → 6 Jun 2014 |
Publication series
| Name | Proceedings of the American Control Conference |
|---|---|
| ISSN (Print) | 0743-1619 |
Conference
| Conference | 2014 American Control Conference, ACC 2014 |
|---|---|
| Country/Territory | United States |
| City | Portland, OR |
| Period | 04.06.2014 → 06.06.2014 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Biomedical Systems
- Blood Glucose Control
- Type 1 Diabetes
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