Abstract
We propose a method to identify diurnal changes in insulin action in patients suffering from type 1 diabetes mellitus (T1DM) based on data recorded by continuous glucose monitoring systems (CGMS). In order to do so the data is fitted using a continuous time transfer function including time dependent terms. The identified values for the insulin needs per gram of carbohydrate were compared with the patient-specific carbohydrate-to-insulin-ratios used for the calculation of the bolus insulin needs. A good agreement between the identified parameters and values determined by diabetologists were found. Furthermore, the diurnal variations in insulin action (as inferred from the changes in the patient-specific carbohydrate-to-insulin-ratios) could be reproduced. The identified models, including the diurnal changes in insulin action and the information on the intra-patient variability, have the potential to be used in future studies for managing the blood glucose level of patients, e.g. in a smart bolus calculator.
| Originalsprache | Englisch |
|---|---|
| Titel | 2015 European Control Conference (ECC) |
| Seiten | 1-6 |
| Seitenumfang | 6 |
| ISBN (elektronisch) | 9783952426937 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - 16 Nov. 2015 |
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
Dieses zitieren
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver