Abstract
We consider an assessment of various insulin control systems through classification by means of different performance characteristics, such as risk of hypoglycemia, hyperglycemia and overall risk. The approach is based on specific, measured patient data under standard insulin therapy. An adaptive prediction technique is used to estimate the differences in blood glucose values produced by control actions that differ from the standard therapy.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference |
| Number of pages | 6 |
| Publication status | Published - Dec 2011 |
Fields of science
- 203 Mechanical Engineering
- 202034 Control engineering
- 202012 Electrical measurement technology
- 206 Medical Engineering
- 202027 Mechatronics
- 202003 Automation
- 203027 Internal combustion engines
- 207109 Pollutant emission
JKU Focus areas
- Mechatronics and Information Processing