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Advances in Artificial Pancreas Systems Adaptive and Multivariable Predictive Control /
This brief introduces recursive modeling techniques that take account of variations in blood glucose concentration within and between individuals. It describes their use in developing multivariable models in early-warning systems for hypo- and hyperglycemia; these models are more accurate than those...
| Main Authors: | , |
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| Corporate Author: | |
| Format: | e-Book |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2018.
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| Edition: | 1st ed. 2018. |
| Series: | SpringerBriefs in Bioengineering,
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| Subjects: | |
| Online Access: | Full-text access View in OPAC |
Table of Contents:
- Introduction
- Physiology and Factors Affecting Blood Glucose Concentration
- Components of an Artificial Pancreas
- Modeling Glucose Concentration Dynamics
- Hypoglycemia Alarm Systems
- Hyperglycemia Alarm Systems
- Various Control Philosophies and Algorithms
- Multivariable Control of Glucose Concentration
- Dual Hormone Techniques for AP Systems
- Integrated Hypo-/Hyperglycemia Alarm and Control Systems
- Future Developments.