Blood glucose regulation and control of insulin and glucagon infusion using single model predictive control for type 1 diabetes mellitus
| Autor: | Sudha Vidyasagar, Surekha Kamath, Cifha Crecil Dias |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Blood Glucose
Risk medicine.medical_specialty medicine.medical_treatment Models Biological Artificial pancreas Glucagon Setpoint Internal medicine Genetics Humans Insulin Medicine Pancreas Molecular Biology Type 1 diabetes business.industry Cell Biology medicine.disease Model predictive control Diabetes Mellitus Type 1 Endocrinology Modeling and Simulation Blood sugar regulation business Algorithms Biotechnology Hormone |
| Zdroj: | IET Systems Biology. 14:133-146 |
| ISSN: | 1751-8857 1751-8849 |
| DOI: | 10.1049/iet-syb.2019.0101 |
| Popis: | This study elaborates on the design of artificial pancreas using model predictive control algorithm for a comprehensive physiological model such as the Sorensen model, which regulates the blood glucose and can have a longer control time in normal glycaemic region. The main objective of the proposed algorithm is to eliminate the risk of hyper and hypoglycaemia and have a precise infusion of hormones: insulin and glucagon. A single model predictive controller is developed to control the bihormones, insulin, and glucagon for such a development unmeasured disturbance is considered for a random time. The simulation result for the proposed algorithm performed good regulation lowering the hypoglycaemia risk and maintaining the glucose level within the normal glycaemic range. To validate the performance of the tracking of output and setpoint, average tracking error is used and 4.4 mg/dl results are obtained while compared with standard value (14.3 mg/dl). |
| Databáze: | OpenAIRE |
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