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.
| Original language | English |
|---|---|
| Title of host publication | 2015 European Control Conference (ECC) |
| Pages | 1-6 |
| Number of pages | 6 |
| ISBN (Electronic) | 9783952426937 |
| DOIs | |
| Publication status | Published - 16 Nov 2015 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Fields of science
- 206002 Electro-medical engineering
- 207109 Pollutant emission
- 202 Electrical Engineering, Electronics, Information Engineering
- 202027 Mechatronics
- 202034 Control engineering
- 203027 Internal combustion engines
- 206001 Biomedical engineering
JKU Focus areas
- Mechatronics and Information Processing
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