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.
Index Terms—Biomedical Systems, Blood Glucose Control,
Type 1 Diabetes
| Originalsprache | Englisch |
|---|---|
| Titel | American Control Conference |
| Seiten | 5465-5470 |
| Seitenumfang | 6 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - Juni 2014 |
Publikationsreihe
| Name | Proceedings of the American Control Conference |
|---|---|
| ISSN (Print) | 0743-1619 |
UN SDGs
Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung
-
SDG 3 – Gute Gesundheit und Wohlergehen
Wissenschaftszweige
- 206002 Elektromedizinische Technik
- 207109 Schadstoffemission
- 202 Elektrotechnik, Elektronik, Informationstechnik
- 202027 Mechatronik
- 202034 Regelungstechnik
- 203027 Verbrennungskraftmaschinen
- 206001 Biomedizinische Technik
JKU-Schwerpunkte
- Mechatronics and Information Processing
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