Literature DB >> 19190726

A Feedforward-Feedback Glucose Control Strategy for Type 1 Diabetes Mellitus.

Gianni Marchetti1, Massimiliano Barolo, Lois Jovanovič, Howard Zisser, Dale E Seborg.   

Abstract

As the "artificial pancreas" becomes closer to reality, automated insulin delivery based on real-time glucose measurements becomes feasible for people with diabetes. This paper is concerned with the development of novel feedforward-feedback control strategies for real-time glucose control and type 1 diabetes. Improved post-meal responses can be achieved by a pre-prandial snack or bolus, or by reducing the glucose setpoint prior to the meal. Several feedforward-feedback control strategies provide attractive alternatives to the standard meal insulin bolus and are evaluated in simulations using a physiological model.

Entities:  

Year:  2008        PMID: 19190726      PMCID: PMC2597856          DOI: 10.1016/j.jprocont.2007.07.008

Source DB:  PubMed          Journal:  J Process Control        ISSN: 0959-1524            Impact factor:   3.666


  33 in total

Review 1.  The intravenous route to blood glucose control.

Authors:  R S Parker; F J Doyle; N A Peppas
Journal:  IEEE Eng Med Biol Mag       Date:  2001 Jan-Feb

2.  Expert PID control system for blood glucose control in critically ill patients.

Authors:  Frederick Chee; Tyrone L Fernando; Andrey V Savkin; Vernon van Heeden
Journal:  IEEE Trans Inf Technol Biomed       Date:  2003-12

3.  Run-to-run control of meal-related insulin dosing.

Authors:  Howard Zisser; Lois Jovanovic; Frank Doyle; Paulina Ospina; Camelia Owens
Journal:  Diabetes Technol Ther       Date:  2005-02       Impact factor: 6.118

4.  Grading system to assess clinical performance of closed-loop glucose control.

Authors:  Ludovic J Chassin; Malgorzata E Wilinska; Roman Hovorka
Journal:  Diabetes Technol Ther       Date:  2005-02       Impact factor: 6.118

5.  Intensive diabetes treatment and cardiovascular disease in patients with type 1 diabetes.

Authors:  David M Nathan; Patricia A Cleary; Jye-Yu C Backlund; Saul M Genuth; John M Lachin; Trevor J Orchard; Philip Raskin; Bernard Zinman
Journal:  N Engl J Med       Date:  2005-12-22       Impact factor: 91.245

Review 6.  Closed-loop insulin delivery - what lies between where we are and where we are going?

Authors:  Garry M Steil; Kerstin Rebrin
Journal:  Expert Opin Drug Deliv       Date:  2005-03       Impact factor: 6.648

7.  A model-based algorithm for blood glucose control in type I diabetic patients.

Authors:  R S Parker; F J Doyle; N A Peppas
Journal:  IEEE Trans Biomed Eng       Date:  1999-02       Impact factor: 4.538

8.  An adaptive plasma glucose controller based on a nonlinear insulin/glucose model.

Authors:  B Candas; J Radziuk
Journal:  IEEE Trans Biomed Eng       Date:  1994-02       Impact factor: 4.538

9.  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

10.  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

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  16 in total

1.  Development of a multi-parametric model predictive control algorithm for insulin delivery in type 1 diabetes mellitus using clinical parameters.

Authors:  M W Percival; Y Wang; B Grosman; E Dassau; H Zisser; L Jovanovič; F J Doyle
Journal:  J Process Control       Date:  2011-03-01       Impact factor: 3.666

2.  An Enhanced Model Predictive Control for the Artificial Pancreas Using a Confidence Index Based on Residual Analysis of Past Predictions.

Authors:  Alejandro J Laguna Sanz; Francis J Doyle; Eyal Dassau
Journal:  J Diabetes Sci Technol       Date:  2016-12-01

3.  Use of microdialysis-based continuous glucose monitoring to drive real-time semi-closed-loop insulin infusion.

Authors:  Guido Freckmann; Nina Jendrike; Stefan Pleus; Harvey Buck; Steven Bousamra; Paul Galley; Ajay Thukral; Robin Wagner; Stefan Weinert; Cornelia Haug
Journal:  J Diabetes Sci Technol       Date:  2014-09-09

4.  Periodic-zone model predictive control for diurnal closed-loop operation of an artificial pancreas.

Authors:  Ravi Gondhalekar; Eyal Dassau; Howard C Zisser; Francis J Doyle
Journal:  J Diabetes Sci Technol       Date:  2013-11-01

5.  Automatic data processing to achieve a safe telemedical artificial pancreas.

Authors:  M Elena Hernando; Gema García-Sáez; Iñaki Martínez-Sarriegui; Agustín Rodríguez-Herrero; Carmen Pérez-Gandía; Mercedes Rigla; Alberto de Leiva; Ismael Capel; Belén Pons; Enrique J Gómez
Journal:  J Diabetes Sci Technol       Date:  2009-09-01

6.  Velocity-weighting to prevent controller-induced hypoglycemia in MPC of an artificial pancreas to treat T1DM.

Authors:  Ravi Gondhalekar; Eyal Dassau; Francis J Doyle
Journal:  Proc Am Control Conf       Date:  2015-07-30

7.  MPC Design for Rapid Pump-Attenuation and Expedited Hyperglycemia Response to Treat T1DM with an Artificial Pancreas.

Authors:  Ravi Gondhalekar; Eyal Dassau; Francis J Doyle
Journal:  Proc Am Control Conf       Date:  2014-07-21

8.  Velocity-weighting & velocity-penalty MPC of an artificial pancreas: Improved safety & performance.

Authors:  Ravi Gondhalekar; Eyal Dassau; Francis J Doyle
Journal:  Automatica (Oxf)       Date:  2018-03-20       Impact factor: 5.944

9.  Periodic zone-MPC with asymmetric costs for outpatient-ready safety of an artificial pancreas to treat type 1 diabetes.

Authors:  Ravi Gondhalekar; Eyal Dassau; Francis J Doyle
Journal:  Automatica (Oxf)       Date:  2016-06-01       Impact factor: 5.944

Review 10.  Health technology assessment review: Computerized glucose regulation in the intensive care unit--how to create artificial control.

Authors:  Miriam Hoekstra; Mathijs Vogelzang; Evgeny Verbitskiy; Maarten W N Nijsten
Journal:  Crit Care       Date:  2009-10-16       Impact factor: 9.097

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