Literature DB >> 26370244

Stress Testing of an Artificial Pancreas System With Pizza and Exercise Leads to Improvements in the System's Fuzzy Logic Controller.

Richard Mauseth1, Sandra M Lord2, Irl B Hirsch3, Robert C Kircher4, Don P Matheson4, Carla J Greenbaum2.   

Abstract

BACKGROUND: Under controlled conditions, the Dose Safety artificial pancreas (AP) system controller, which utilizes "fuzzy logic" (FL) methodology to calculate and deliver appropriate insulin dosages based on changes in blood glucose, successfully managed glycemic excursions. The aim of this study was to show whether stressing the system with pizza (high carbohydrate/high fat) meals and exercise would reveal deficits in the performance of the Dose Safety FL controller (FLC) and lead to improvements in the dosing matrix.
METHODS: Ten subjects with type 1 diabetes (T1D) were enrolled and participated in 30 studies (17 meal, 13 exercise) using 2 versions of the FLC. After conducting 13 studies with the first version (FLC v2.0), interim results were evaluated and the FLC insulin-dosing matrix was modified to create a new controller version (FLC v2.1) that was validated through regression testing using v2.0 CGM datasets prior to its use in clinical studies. The subsequent 17 studies were performed using FLC v2.1.
RESULTS: Use of FLC v2.1 vs FLC v2.0 in the pizza meal tests showed improvements in mean blood glucose (205 mg/dL vs 232 mg/dL, P = .04). FLC v2.1 versus FLC v2.0 in exercise tests showed improvements in mean blood glucose (146 mg/dL vs 201 mg/dL, P = .004), percentage time spent >180 mg/dL (19.3% vs 46.7%, P = .001), and percentage time spent 70-180 mg/dL (80.0% vs 53.3%, P = .002).
CONCLUSION: Stress testing the AP system revealed deficits in the FLC performance, which led to adjustments to the dosing matrix followed by improved FLC performance when retested.
© 2015 Diabetes Technology Society.

Entities:  

Keywords:  AP; artificial pancreas; closed loop; fuzzy logic

Mesh:

Substances:

Year:  2015        PMID: 26370244      PMCID: PMC4667297          DOI: 10.1177/1932296815602098

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  9 in total

1.  Multicenter closed-loop insulin delivery study points to challenges for keeping blood glucose in a safe range by a control algorithm in adults and adolescents with type 1 diabetes from various sites.

Authors:  Howard Zisser; Eric Renard; Boris Kovatchev; Claudio Cobelli; Angelo Avogaro; Revital Nimri; Lalo Magni; Bruce A Buckingham; H Peter Chase; Francis J Doyle; John Lum; Peter Calhoun; Craig Kollman; Eyal Dassau; Anne Farret; Jerome Place; Marc Breton; Stacey M Anderson; Chiara Dalla Man; Simone Del Favero; Daniela Bruttomesso; Alessio Filippi; Rachele Scotton; Moshe Phillip; Eran Atlas; Ido Muller; Shahar Miller; Chiara Toffanin; Davide Martino Raimondo; Giuseppe De Nicolao; Roy W Beck
Journal:  Diabetes Technol Ther       Date:  2014-07-08       Impact factor: 6.118

2.  Use of a "fuzzy logic" controller in a closed-loop artificial pancreas.

Authors:  Richard Mauseth; Irl B Hirsch; Jennifer Bollyky; Robert Kircher; Don Matheson; Srinath Sanda; Carla Greenbaum
Journal:  Diabetes Technol Ther       Date:  2013-07-05       Impact factor: 6.118

Review 3.  Diabetes and exercise.

Authors:  N S Peirce
Journal:  Br J Sports Med       Date:  1999-06       Impact factor: 13.800

4.  Proposed clinical application for tuning fuzzy logic controller of artificial pancreas utilizing a personalization factor.

Authors:  Richard Mauseth; Youqing Wang; Eyal Dassau; Robert Kircher; Donald Matheson; Howard Zisser; Lois Jovanovic; Francis J Doyle
Journal:  J Diabetes Sci Technol       Date:  2010-07-01

5.  Overnight closed-loop insulin delivery in young people with type 1 diabetes: a free-living, randomized clinical trial.

Authors:  Roman Hovorka; Daniela Elleri; Hood Thabit; Janet M Allen; Lalantha Leelarathna; Ranna El-Khairi; Kavita Kumareswaran; Karen Caldwell; Peter Calhoun; Craig Kollman; Helen R Murphy; Carlo L Acerini; Malgorzata E Wilinska; Marianna Nodale; David B Dunger
Journal:  Diabetes Care       Date:  2014       Impact factor: 19.112

6.  Outpatient glycemic control with a bionic pancreas in type 1 diabetes.

Authors:  Steven J Russell; Firas H El-Khatib; Manasi Sinha; Kendra L Magyar; Katherine McKeon; Laura G Goergen; Courtney Balliro; Mallory A Hillard; David M Nathan; Edward R Damiano
Journal:  N Engl J Med       Date:  2014-06-15       Impact factor: 91.245

7.  Nocturnal glucose control with an artificial pancreas at a diabetes camp.

Authors:  Moshe Phillip; Tadej Battelino; Eran Atlas; Olga Kordonouri; Natasa Bratina; Shahar Miller; Torben Biester; Magdalena Avbelj Stefanija; Ido Muller; Revital Nimri; Thomas Danne
Journal:  N Engl J Med       Date:  2013-02-28       Impact factor: 91.245

8.  Modular artificial beta-cell system: a prototype for clinical research.

Authors:  Eyal Dassau; Howard Zisser; Cesar C Palerm; Bruce A Buckingham; Lois Jovanovic; Francis J Doyle
Journal:  J Diabetes Sci Technol       Date:  2008-09

Review 9.  The artificial pancreas: current status and future prospects in the management of diabetes.

Authors:  Thomas Peyser; Eyal Dassau; Marc Breton; Jay S Skyler
Journal:  Ann N Y Acad Sci       Date:  2014-04       Impact factor: 5.691

  9 in total
  9 in total

1.  Automated Insulin Delivery Algorithms.

Authors:  Ali Cinar
Journal:  Diabetes Spectr       Date:  2019-08

2.  Multivariable Artificial Pancreas for Various Exercise Types and Intensities.

Authors:  Kamuran Turksoy; Iman Hajizadeh; Nicole Hobbs; Jennifer Kilkus; Elizabeth Littlejohn; Sediqeh Samadi; Jianyuan Feng; Mert Sevil; Caterina Lazaro; Julia Ritthaler; Brooks Hibner; Nancy Devine; Laurie Quinn; Ali Cinar
Journal:  Diabetes Technol Ther       Date:  2018-09-06       Impact factor: 6.118

Review 3.  Multivariable Adaptive Artificial Pancreas System in Type 1 Diabetes.

Authors:  Ali Cinar
Journal:  Curr Diab Rep       Date:  2017-08-15       Impact factor: 4.810

4.  Artificial Intelligence Methodologies and Their Application to Diabetes.

Authors:  Mercedes Rigla; Gema García-Sáez; Belén Pons; Maria Elena Hernando
Journal:  J Diabetes Sci Technol       Date:  2017-05-25

5.  Improving Glucose Prediction Accuracy in Physically Active Adolescents With Type 1 Diabetes.

Authors:  Nicole Hobbs; Iman Hajizadeh; Mudassir Rashid; Kamuran Turksoy; Marc Breton; Ali Cinar
Journal:  J Diabetes Sci Technol       Date:  2019-01-18

6.  Enhanced Model Predictive Control (eMPC) Strategy for Automated Glucose Control.

Authors:  Joon Bok Lee; Eyal Dassau; Ravi Gondhalekar; Dale E Seborg; Jordan E Pinsker; Francis J Doyle
Journal:  Ind Eng Chem Res       Date:  2016-10-27       Impact factor: 3.720

Review 7.  Artificial Intelligence for Diabetes Management and Decision Support: Literature Review.

Authors:  Ivan Contreras; Josep Vehi
Journal:  J Med Internet Res       Date:  2018-05-30       Impact factor: 5.428

8.  Optimal regulation of blood glucose level in Type I diabetes using insulin and glucagon.

Authors:  Afroza Shirin; Fabio Della Rossa; Isaac Klickstein; John Russell; Francesco Sorrentino
Journal:  PLoS One       Date:  2019-03-20       Impact factor: 3.240

Review 9.  Artificial Pancreas Device Systems for the Closed-Loop Control of Type 1 Diabetes: What Systems Are in Development?

Authors:  Sara Trevitt; Sue Simpson; Annette Wood
Journal:  J Diabetes Sci Technol       Date:  2016-05-03
  9 in total

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