Literature DB >> 23175620

Challenges and Recent Progress in the Development of a Closed-loop Artificial Pancreas.

B Wayne Bequette1.   

Abstract

Pursuit of a closed-loop artificial pancreas that automatically controls the blood glucose of individuals with type 1 diabetes has intensified during the past six years. Here we discuss the recent progress and challenges in the major steps towards a closed-loop system. Continuous insulin infusion pumps have been widely available for over two decades, but "smart pump" technology has made the devices easier to use and more powerful. Continuous glucose monitoring (CGM) technology has improved and the devices are more widely available. A number of approaches are currently under study for fully closed-loop systems; most manipulate only insulin, while others manipulate insulin and glucagon. Algorithms include on-off (for prevention of overnight hypoglycemia), proportional-integral-derivative (PID), model predictive control (MPC) and fuzzy logic based learning control. Meals cause a major "disturbance" to blood glucose, and we discuss techniques that our group has developed to predict when a meal is likely to be consumed and its effect. We further examine both physiology and device-related challenges, including insulin infusion set failure and sensor signal attenuation. Finally, we discuss the next steps required to make a closed-loop artificial pancreas a commercial reality.

Entities:  

Year:  2012        PMID: 23175620      PMCID: PMC3501007          DOI: 10.1016/j.arcontrol.2012.09.007

Source DB:  PubMed          Journal:  Annu Rev Control        ISSN: 1367-5788            Impact factor:   6.091


  120 in total

Review 1.  Physiologic insulin delivery with insulin feedback: a control systems perspective.

Authors:  Cesar C Palerm
Journal:  Comput Methods Programs Biomed       Date:  2010-08-02       Impact factor: 5.428

2.  Glucosim: educational software for virtual experiments with patients with type 1 diabetes.

Authors:  Baris Agar; Meriyan Eren; Ali Cinar
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2005

3.  Use of continuous glucose monitoring to estimate insulin requirements in patients with type 1 diabetes mellitus during a short course of prednisone.

Authors:  Wendy C Bevier; Howard C Zisser; Lois Jovanovic; Daniel A Finan; Cesar C Palerm; Dale E Seborg; Francis J Doyle
Journal:  J Diabetes Sci Technol       Date:  2008-07

4.  A controlled study of the effectiveness of an adaptive closed-loop algorithm to minimize corticosteroid-induced stress hyperglycemia in type 1 diabetes.

Authors:  Joseph El Youssef; Jessica R Castle; Deborah L Branigan; Ryan G Massoud; Matthew E Breen; Peter G Jacobs; B Wayne Bequette; W Kenneth Ward
Journal:  J Diabetes Sci Technol       Date:  2011-11-01

5.  Exercise in closed-loop control: a major hurdle.

Authors:  Arianne C van Bon; Eugeny Verbitskiy; Golo von Basum; Joost B L Hoekstra; J Hans DeVries
Journal:  J Diabetes Sci Technol       Date:  2011-11-01

6.  Automatic learning algorithm for the MD-logic artificial pancreas system.

Authors:  Shahar Miller; Revital Nimri; Eran Atlas; Eli A Grunberg; Moshe Phillip
Journal:  Diabetes Technol Ther       Date:  2011-07-20       Impact factor: 6.118

7.  Robust fault detection system for insulin pump therapy using continuous glucose monitoring.

Authors:  Pau Herrero; Remei Calm; Josep Vehí; Joaquim Armengol; Pantelis Georgiou; Nick Oliver; Christofer Tomazou
Journal:  J Diabetes Sci Technol       Date:  2012-09-01

8.  Inpatient studies of a Kalman-filter-based predictive pump shutoff algorithm.

Authors:  Fraser Cameron; Darrell M Wilson; Bruce A Buckingham; Hasmik Arzumanyan; Paula Clinton; H Peter Chase; John Lum; David M Maahs; Peter M Calhoun; B Wayne Bequette
Journal:  J Diabetes Sci Technol       Date:  2012-09-01

9.  Is an automatic pump suspension feature safe for children with type 1 diabetes? An exploratory analysis with a closed-loop system.

Authors:  Eda Cengiz; Karena L Swan; William V Tamborlane; Garry M Steil; Amy T Steffen; Stuart A Weinzimer
Journal:  Diabetes Technol Ther       Date:  2009-04       Impact factor: 6.118

10.  In silico evaluation platform for artificial pancreatic beta-cell development--a dynamic simulator for closed-loop control with hardware-in-the-loop.

Authors:  Eyal Dassau; Cesar C Palerm; Howard Zisser; Bruce A Buckingham; Lois Jovanovic; Francis J Doyle
Journal:  Diabetes Technol Ther       Date:  2009-03       Impact factor: 6.118

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  40 in total

1.  Classification of Physical Activity: Information to Artificial Pancreas Control Systems in Real Time.

Authors:  Kamuran Turksoy; Thiago Marques Luz Paulino; Dessi P Zaharieva; Loren Yavelberg; Veronica Jamnik; Michael C Riddell; Ali Cinar
Journal:  J Diabetes Sci Technol       Date:  2015-10-06

2.  Evaluation of Intradermal and Subcutaneous Infusion Set Performance Under 24-Hour Basal and Bolus Conditions.

Authors:  Elaine McVey; Steven Keith; Joshua K Herr; Diane Sutter; Ronald J Pettis
Journal:  J Diabetes Sci Technol       Date:  2015-08-27

3.  Algorithms for a closed-loop artificial pancreas: the case for model predictive control.

Authors:  B Wayne Bequette
Journal:  J Diabetes Sci Technol       Date:  2013-11-01

4.  Physical activity measured by physical activity monitoring system correlates with glucose trends reconstructed from continuous glucose monitoring.

Authors:  Chiara Zecchin; Andrea Facchinetti; Giovanni Sparacino; Chiara Dalla Man; Chinmay Manohar; James A Levine; Ananda Basu; Yogish C Kudva; Claudio Cobelli
Journal:  Diabetes Technol Ther       Date:  2013-08-14       Impact factor: 6.118

Review 5.  Hypo- and Hyperglycemic Alarms: Devices and Algorithms.

Authors:  Daniel Howsmon; B Wayne Bequette
Journal:  J Diabetes Sci Technol       Date:  2015-04-30

6.  A novel method to detect pressure-induced sensor attenuations (PISA) in an artificial pancreas.

Authors:  Nihat Baysal; Fraser Cameron; Bruce A Buckingham; Darrell M Wilson; H Peter Chase; David M Maahs; B Wayne Bequette
Journal:  J Diabetes Sci Technol       Date:  2014-10-14

7.  Inpatient trial of an artificial pancreas based on multiple model probabilistic predictive control with repeated large unannounced meals.

Authors:  Fraser Cameron; Günter Niemeyer; Darrell M Wilson; B Wayne Bequette; Kari S Benassi; Paula Clinton; Bruce A Buckingham
Journal:  Diabetes Technol Ther       Date:  2014-09-26       Impact factor: 6.118

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.  Preliminary evaluation of a new semi-closed-loop insulin therapy system over the prandial period in adult patients with type 1 diabetes: the WP6.0 Diabeloop study.

Authors:  Marie Aude Quemerais; Maeva Doron; Florent Dutrech; Vincent Melki; Sylvia Franc; Michel Antonakios; Guillaume Charpentier; Helene Hanaire; Pierre Yves Benhamou
Journal:  J Diabetes Sci Technol       Date:  2014-08-04

10.  Real-Time Detection of Infusion Site Failures in a Closed-Loop Artificial Pancreas.

Authors:  Daniel P Howsmon; Nihat Baysal; Bruce A Buckingham; Gregory P Forlenza; Trang T Ly; David M Maahs; Tatiana Marcal; Lindsey Towers; Eric Mauritzen; Sunil Deshpande; Lauren M Huyett; Jordan E Pinsker; Ravi Gondhalekar; Francis J Doyle; Eyal Dassau; Juergen Hahn; B Wayne Bequette
Journal:  J Diabetes Sci Technol       Date:  2018-02-01
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