Periodic-zone model predictive control for diurnal closed-loop operation of an artificial pancreas.
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TLDR
The proposed PZMPC algorithm strategically prevents nocturnal hypoglycemia and is considered a significant step toward deploying APs into outpatient environments for extended periods of time in full closed-loop operation.Abstract:
Background
The objective of this research is an artificial pancreas (AP) that performs automatic regulation of blood glucose levels in people with type 1 diabetes mellitus. This article describes a control strategy that performs algorithmic insulin dosing for maintaining safe blood glucose levels over prolonged, overnight periods of time and furthermore was designed with outpatient, multiday deployment in mind. Of particular concern is the prevention of nocturnal hypoglycemia, because during sleep, subjects cannot monitor themselves and may not respond to alarms. An AP intended for prolonged and unsupervised outpatient deployment must strategically reduce the risk of hypoglycemia during times of sleep, without requiring user interaction.read more
Citations
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Journal ArticleDOI
The artificial pancreas: current status and future prospects in the management of diabetes
TL;DR: Progress in the development of external systems that are based on sub cutaneous drug delivery and subcutaneous continuous glucose monitoring is discussed.
Journal ArticleDOI
Periodic zone-MPC with asymmetric costs for outpatient-ready safety of an artificial pancreas to treat type 1 diabetes
TL;DR: A novel Model Predictive Control law for an Artificial Pancreas (AP) to automatically deliver insulin to people with type 1 diabetes is proposed, and improves safety by facilitating the independent design of the controller's responses to hyperglycemia and hypoglycemia.
Journal ArticleDOI
Randomized Crossover Comparison of Personalized MPC and PID Control Algorithms for the Artificial Pancreas.
Jordan E. Pinsker,Joon Bok Lee,Eyal Dassau,Eyal Dassau,Dale E. Seborg,Paige K. Bradley,Ravi Gondhalekar,Wendy C. Bevier,Lauren M. Huyett,Howard Zisser,Francis J. Doyle,Francis J. Doyle +11 more
TL;DR: This first comprehensive study to compare MPC and PID control for the AP indicates that MPC performed particularly well, achieving nearly 75% time in the target range, including the unannounced meal.
Journal ArticleDOI
Event-Triggered Model Predictive Control for Embedded Artificial Pancreas Systems
TL;DR: The proposed framework integrated seamlessly with a wide variety of popular MPC variants reported in AP research, customizes tradeoff between glycemic regulation and efficacy according to prior design specifications, and eliminates judicious prior selection of controller sampling times.
Journal ArticleDOI
Velocity-weighting & velocity-penalty MPC of an artificial pancreas: Improved safety & performance.
TL;DR: A novel Model Predictive Control law for the closed-loop operation of an Artificial Pancreas to treat type 1 diabetes is proposed to simultaneously enhance both the safety and performance of an AP, by reducing the incidence of controller-induced hypoglycemia, and by promoting assertive hyperglycemia correction.
References
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TL;DR: In this article, the authors present a set of control analysis methods for MIMO linear systems, including the phase plane method, M.S. Atherton, and A.R. Stubberud.
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In Silico Preclinical Trials: A Proof of Concept in Closed-Loop Control of Type 1 Diabetes
TL;DR: A system for in silico testing of control algorithms that has been shown to represent adequate glucose fluctuations in T1DM observed during meal challenges, and has been accepted by the Food and Drug Administration as a substitute to animal trials in the preclinical testing of closed-loop control strategies.
Journal ArticleDOI
Artificial Pancreas: Past, Present, Future
TL;DR: The artificial pancreas (AP), known as closed-loop control of blood glucose in diabetes, is a system combining a glucose sensor, a control algorithm, and an insulin infusion device that has proved the feasibility of external glucose control and stimulated further technology development.
Journal ArticleDOI
A model-based algorithm for blood glucose control in Type I diabetic patients
TL;DR: A model-based-predictive control algorithm is developed to maintain normoglycemia in the Type I diabetic patient using a closed-loop insulin infusion pump and outperforms an internal model controller from literature under noise-free conditions.