Literature DB >> 20658267

A robust sliding mode controller with internal model for closed-loop artificial pancreas.

Amjad Abu-Rmileh1, Winston Garcia-Gabin, Darine Zambrano.   

Abstract

The study presents a robust closed-loop sliding mode controller with internal model for blood glucose control in type-1 diabetes. Type-1 diabetic patients depend on external insulin delivery to keep their blood glucose within near-normal ranges. Closed-loop artificial pancreas is developed to help avoid dangerous, potentially life-threatening hypoglycemia, as well as to prevent complication-inducing hyperglycemia. The proposed controller is designed using a combination of sliding mode and internal model control techniques. To enhance postprandial performance, a feedforward controller is added to inject insulin bolus. Simulation studies have been performed to test the controller, which revealed that the proposed control strategy is able to control the blood glucose well within the safe limits in the presence of meals and measurements errors. The controller shows acceptable robustness against changes in insulin sensitivity, model-patient mismatch, and errors in estimating meal's contents.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20658267     DOI: 10.1007/s11517-010-0665-3

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  21 in total

Review 1.  Closed-loop insulin delivery-the path to physiological glucose control.

Authors:  G M Steil; A E Panteleon; K Rebrin
Journal:  Adv Drug Deliv Rev       Date:  2004-02-10       Impact factor: 15.470

Review 2.  Continuous glucose monitoring: roadmap for 21st century diabetes therapy.

Authors:  David C Klonoff
Journal:  Diabetes Care       Date:  2005-05       Impact factor: 19.112

3.  Evaluation of a new measure of blood glucose variability in diabetes.

Authors:  Boris P Kovatchev; Erik Otto; Daniel Cox; Linda Gonder-Frederick; William Clarke
Journal:  Diabetes Care       Date:  2006-11       Impact factor: 19.112

4.  Characteristics of basal insulin requirements by age and gender in Type-1 diabetes patients using insulin pump therapy.

Authors:  Gary Scheiner; Bret A Boyer
Journal:  Diabetes Res Clin Pract       Date:  2004-12-22       Impact factor: 5.602

5.  Control oriented model of insulin and glucose dynamics in type 1 diabetics.

Authors:  Pier Giorgio Fabietti; Valentina Canonico; Marco Orsini Federici; Massimo Massi Benedetti; Eugenio Sarti
Journal:  Med Biol Eng Comput       Date:  2006-03       Impact factor: 2.602

6.  Feasibility of automating insulin delivery for the treatment of type 1 diabetes.

Authors:  Garry M Steil; Kerstin Rebrin; Christine Darwin; Farzam Hariri; Mohammed F Saad
Journal:  Diabetes       Date:  2006-12       Impact factor: 9.461

7.  Quantifying temporal glucose variability in diabetes via continuous glucose monitoring: mathematical methods and clinical application.

Authors:  Boris P Kovatchev; William L Clarke; Marc Breton; Kenneth Brayman; Anthony McCall
Journal:  Diabetes Technol Ther       Date:  2005-12       Impact factor: 6.118

8.  Partitioning glucose distribution/transport, disposal, and endogenous production during IVGTT.

Authors:  Roman Hovorka; Fariba Shojaee-Moradie; Paul V Carroll; Ludovic J Chassin; Ian J Gowrie; Nicola C Jackson; Romulus S Tudor; A Margot Umpleby; Richard H Jones
Journal:  Am J Physiol Endocrinol Metab       Date:  2002-05       Impact factor: 4.310

9.  A Run-to-Run Control Strategy to Adjust Basal Insulin Infusion Rates in Type 1 Diabetes.

Authors:  Cesar C Palerm; Howard Zisser; Lois Jovanovič; Francis J Doyle
Journal:  J Process Control       Date:  2008       Impact factor: 3.666

10.  Analysis, modeling, and simulation of the accuracy of continuous glucose sensors.

Authors:  Marc Breton; Boris Kovatchev
Journal:  J Diabetes Sci Technol       Date:  2008-09
View more
  7 in total

1.  Non-invasive continuous glucose monitoring: improved accuracy of point and trend estimates of the Multisensor system.

Authors:  Mattia Zanon; Giovanni Sparacino; Andrea Facchinetti; Michela Riz; Mark S Talary; Roland E Suri; Andreas Caduff; Claudio Cobelli
Journal:  Med Biol Eng Comput       Date:  2012-06-22       Impact factor: 2.602

2.  Multilevel model of type 1 diabetes mellitus patients for model-based glucose controllers.

Authors:  Winston Garcia-Gabin; Elling W Jacobsen
Journal:  J Diabetes Sci Technol       Date:  2013-01-01

3.  Designing an artificial pancreas architecture: the AP@home experience.

Authors:  Giordano Lanzola; Chiara Toffanin; Federico Di Palma; Simone Del Favero; Lalo Magni; Riccardo Bellazzi
Journal:  Med Biol Eng Comput       Date:  2014-11-28       Impact factor: 2.602

4.  Modelling the effect of insulin on the disposal of meal-attributable glucose in type 1 diabetes.

Authors:  Fernando García-García; Roman Hovorka; Malgorzata E Wilinska; Daniela Elleri; M Elena Hernando
Journal:  Med Biol Eng Comput       Date:  2016-05-07       Impact factor: 2.602

5.  Stabilized glucagon formulation for bihormonal pump use.

Authors:  Solomon S Steiner; Ming Li; Robert Hauser; Roderike Pohl
Journal:  J Diabetes Sci Technol       Date:  2010-11-01

6.  A mechanical chest compressor closed-loop controller with an effective trade-off between blood flow improvement and ribs fracture reduction.

Authors:  Guang Zhang; Taihu Wu; Zhenxing Song; Haitao Wang; Hengzhi Lu; Yalin Wang; Dan Wang; Feng Chen
Journal:  Med Biol Eng Comput       Date:  2015-03-04       Impact factor: 2.602

7.  Evaluation of short-term predictors of glucose concentration in type 1 diabetes combining feature ranking with regression models.

Authors:  Eleni I Georga; Vasilios C Protopappas; Demosthenes Polyzos; Dimitrios I Fotiadis
Journal:  Med Biol Eng Comput       Date:  2015-03-15       Impact factor: 2.602

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.