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Interval Safety Layer Coupled With an Impulsive MPC for Artificial Pancreas to Handle Intrapatient Variability.
María F Villa-Tamayo1, Maira García-Jaramillo2, Fabian León-Vargas3
1Universidad Nacional de Colombia, Facultad de Minas, Grupo GITA, Medellin, Colombia.
Frontiers in Endocrinology
|March 10, 2022
Summary
This study introduces an adaptive insulin on board (IOB) constraint for artificial pancreas systems. The novel control strategy improved time in normoglycemia to 92% and eliminated hypoglycemia in adults with type 1 diabetes.
Area of Science:
- Biomedical Engineering
- Control Systems Engineering
- Endocrinology
Background:
- Artificial pancreas systems aim to regulate blood glucose in type 1 diabetes.
- Current systems use insulin on board (IOB) constraints to prevent hypoglycemia.
- Intrapatient variability necessitates adaptive control strategies.
Purpose of the Study:
- To develop an adaptive IOB constraint for artificial pancreas control.
- To improve glycemic control by reducing hyperglycemia and avoiding hypoglycemia.
- To enhance safety and efficacy of insulin dosing algorithms.
Main Methods:
- An impulsive model predictive controller (MPC) was modulated with a safety layer.
- An adaptive IOB constraint was established using an interval model for uncertainty.
- The constraint incorporated glycemia, plant-model mismatch, and their derivatives.
Main Results:
- Achieved 92% time in normoglycemia in an adult cohort.
- Reduced time in hypoglycemia to 0%.
- Demonstrated improved performance over previous MPC strategies.
Conclusions:
- The adaptive IOB constraint effectively manages intrapatient variability.
- This strategy enhances safety and efficacy in artificial pancreas systems.
- The approach shows significant potential for type 1 diabetes management.
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