Key result
Impulsive zone model predictive control regulates hyperglycemia and hypoglycemia in simulated long-term scenarios.
Why the study?
Regulating glycemia in type I diabetic patients requires control methods that ensure stability under moderate-to-severe disturbances using realistic long-term glucose-insulin models.
Does impulsive zone model predictive control regulate glycemia in simulated type I diabetic patients?
Does impulsive zone model predictive control regulate glycemia in simulated type I diabetic patients?
An impulsive zone model predictive control strategy demonstrates theoretical efficacy in regulating glycemia and maintaining stability under disturbances in a simulated type I diabetes model.
Simulation stability with impulsive ZMPC in T1D; leaves open prospective clinical validation.
In this work the problem of regulating glycemia in type I diabetic patients is studied by means of an impulsive zone model predictive control (impulsive ZMPC) based on a novel long-term glucose-insulin model. Taking advantage of the model - which features real life properties of diabetes patients that some other popular models do not - the proposed control ensures the stability under moderate-to-severe disturbances. A long-term scenario - including meals - are simulated, and the results appear to be satisfactory as long as every hyperglycemia and hypoglycemia episodes are suitably controlled.
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González et al. (2017) studied Type I diabetes. Impulsive zone model predictive control (impulsive ZMPC) was evaluated on Regulation of glycemia (hyperglycemia and hypoglycemia episodes). Impulsive zone model predictive control based on a novel long-term glucose-insulin model successfully controlled hyperglycemia and hypoglycemia episodes in simulated long-term scenarios.
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