NDLI: <italic>In Silico</italic> Closed-Loop Control Validation Studies for Optimal Insulin Delivery in Type 1 Diabetes

Content Provider	IEEE Xplore Digital Library
Author	Zavitsanou, S. Mantalaris, A. Georgiadis, M.C. Pistikopoulos, E.N.
Copyright Year	1964
Abstract	This study presents a general closed-loop control strategy for optimal insulin delivery in type 1 Diabetes Mellitus (T1DM). The proposed control strategy aims toward an individualized optimal insulin delivery that consists of a patient-specific model predictive controller, a state estimator, a personalized scheduling level, and an open-loop optimization problem subjected to patient-specific process model and constraints. This control strategy can be also modified to address the case of limited patient data availability resulting in an “approximation” control strategy. Both strategies are validated in silico in the presence of predefined and unknown meal disturbances using both a novel mathematical model of glucose-insulin interactions and the UVa/Padova Simulator model as a virtual patient. The robustness of the control performance is evaluated under several conditions such as skipped meals, variability in the meal time, and metabolic uncertainty. The simulation results of the closed-loop validation studies indicate that the proposed control strategies can potentially achieve improved glycaemic control.
Sponsorship	IEEE Engineering in Medicine and Biology Society
Page Count	10
File Size	1287313
Starting Page	2369
Ending Page	2378
File Format	PDF
ISSN	00189294
Volume Number	62
Issue Number	10
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Insulin Sugar Mathematical model Optimization Control design Blood Predictive models optimal insulin delivery MPC scheduling state estimation type 1 DM optimisation problem type 1 Diabetes Mellitus (T1DM) Model predictive control (MPC) optimization problem
Content Type	Text
Resource Type	Article
Subject	Biomedical Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

A Gain-Scheduling Model Predictive Controller for Blood Glucose Control in Type 1 Diabetes

Control-Relevant Models for Glucose Control Using A Priori Patient Characteristics

Zone-MPC Automated Insulin Delivery Algorithm Tuned for Pregnancy Complicated by Type 1 Diabetes

Closed-Loop Control of Artificial Pancreatic $beta$ -Cell in Type 1 Diabetes Mellitus Using Model Predictive Iterative Learning Control

Parameter estimation of a meal glucose–insulin model for TIDM patients from therapy historical data

An Insulin Infusion Advisory System Based on Autotuning Nonlinear Model-Predictive Control

Factors Associated With Glycemic Control During Free-Living Overnight Closed-Loop Insulin Delivery in Children and Adults With Type 1 Diabetes

Modular Closed-Loop Control of Diabetes

Weighting Restriction for Intravenous Insulin Delivery on T1DM Patient via $H_{infty}$ Control

In Silico Closed-Loop Control Validation Studies for Optimal Insulin Delivery in Type 1 Diabetes

Similar Documents

A Gain-Scheduling Model Predictive Controller for Blood Glucose Control in Type 1 Diabetes

Control-Relevant Models for Glucose Control Using A Priori Patient Characteristics

Zone-MPC Automated Insulin Delivery Algorithm Tuned for Pregnancy Complicated by Type 1 Diabetes

Closed-Loop Control of Artificial Pancreatic $beta$ -Cell in Type 1 Diabetes Mellitus Using Model Predictive Iterative Learning Control

Parameter estimation of a meal glucose–insulin model for TIDM patients from therapy historical data

An Insulin Infusion Advisory System Based on Autotuning Nonlinear Model-Predictive Control

Factors Associated With Glycemic Control During Free-Living Overnight Closed-Loop Insulin Delivery in Children and Adults With Type 1 Diabetes

Modular Closed-Loop Control of Diabetes

Weighting Restriction for Intravenous Insulin Delivery on T1DM Patient via $H_{infty}$ Control

In Silico Closed-Loop Control Validation Studies for Optimal Insulin Delivery in Type 1 Diabetes