Literature DB >> 16929923

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

Pier Giorgio Fabietti1, Valentina Canonico, Marco Orsini Federici, Massimo Massi Benedetti, Eugenio Sarti.   

Abstract

The aim of the study was to realize a mathematical model of insulin-glucose relationship in type I diabetes and test its effectiveness for the design of control algorithms in external artificial pancreas. A new mathematical model, divided into glucose and insulin sub-models, was developed from the so-called "minimal model". The key feature is the representation of insulin sensitivity so as to permit the personalisation of the parameters. Real-time applications are based on an insulin standardised model. Clinical data were used to estimate model parameters. Root mean square error between simulated and real blood glucose profiles (G(rms)) was used to evaluate system efficacy. Results from parameter estimation and insulin standardisation showed a good capability of the model to identify individual characteristics. Simulation results with a G(rms) 1.30 mmol/l in the worst case testified the capacity of the model to accurately represent glucose-insulin relationship in type 1 diabetes allowing self tuning in real time.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16929923     DOI: 10.1007/s11517-005-0012-2

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


  30 in total

Review 1.  The artificial pancreas.

Authors:  Paolo Brunetti; Marco Orsini Federici; Massimo Massi Benedetti
Journal:  Artif Cells Blood Substit Immobil Biotechnol       Date:  2003-05

Review 2.  The role of splanchnic glucose appearance in determining carbohydrate tolerance.

Authors:  R Rizza
Journal:  Diabet Med       Date:  1996-09       Impact factor: 4.359

3.  Wearable artificial endocrine pancrease with needle-type glucose sensor.

Authors:  M Shichiri; R Kawamori; Y Yamasaki; N Hakui; H Abe
Journal:  Lancet       Date:  1982-11-20       Impact factor: 79.321

4.  Hormonal and metabolic responses in brittle diabetic patients during feedback intravenous insulin infusion.

Authors:  M Massi Benedetti; P D Home; G V Gill; J M Burrin; G A Noy; K G Alberti
Journal:  Diabetes Res Clin Pract       Date:  1987 Nov-Dec       Impact factor: 5.602

Review 5.  Continuous glucose monitoring: an overview of today's technologies and their clinical applications.

Authors:  Lutz Heinemann; Theodor Koschinsky
Journal:  Int J Clin Pract Suppl       Date:  2002-07

Review 6.  Clinical pharmacokinetics and pharmacodynamics of insulin aspart.

Authors:  A Lindholm; L V Jacobsen
Journal:  Clin Pharmacokinet       Date:  2001       Impact factor: 6.447

7.  Closing the loop: the adicol experience.

Authors:  Roman Hovorka; Ludovic J Chassin; Malgorzata E Wilinska; Valentina Canonico; Joyce Akwe Akwi; Marco Orsini Federici; Massimo Massi-Benedetti; Ivo Hutzli; Claudio Zaugg; Heiner Kaufmann; Marcel Both; Thomas Vering; Helga C Schaller; Lukas Schaupp; Manfred Bodenlenz; Thomas R Pieber
Journal:  Diabetes Technol Ther       Date:  2004-06       Impact factor: 6.118

8.  Numerical approximation of mathematical model for absorption of subcutaneously injected insulin.

Authors:  P Wach; Z Trajanoski; P Kotanko; F Skrabal
Journal:  Med Biol Eng Comput       Date:  1995-01       Impact factor: 2.602

9.  Glucose controlled insulin infusion system (Biostator) application during surgery for a presumed pancreatic microinsulinoma.

Authors:  M Massi-Benedetti; G Noy; I D Johnston; R Worth; K G Alberti
Journal:  Diabete Metab       Date:  1981-03

10.  Dawn phenomenon and Somogyi effect in IDDM.

Authors:  J M Stephenson; G Schernthaner
Journal:  Diabetes Care       Date:  1989-04       Impact factor: 19.112

View more
  13 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.  Control Limitations in Models of T1DM and the Robustness of Optimal Insulin Delivery.

Authors:  Christopher Townsend; Maria M Seron; Graham C Goodwin; Bruce R King
Journal:  J Diabetes Sci Technol       Date:  2018-07-31

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

Authors:  Amjad Abu-Rmileh; Winston Garcia-Gabin; Darine Zambrano
Journal:  Med Biol Eng Comput       Date:  2010-07-24       Impact factor: 2.602

Review 4.  Pharmacokinetic/pharmacodynamic modelling in diabetes mellitus.

Authors:  Cornelia B Landersdorfer; William J Jusko
Journal:  Clin Pharmacokinet       Date:  2008       Impact factor: 6.447

5.  A comprehensive compartmental model of blood glucose regulation for healthy and type 2 diabetic subjects.

Authors:  O Vahidi; K E Kwok; R B Gopaluni; F K Knop
Journal:  Med Biol Eng Comput       Date:  2015-10-22       Impact factor: 2.602

6.  Multi-objective blood glucose control for type 1 diabetes.

Authors:  Pinky Dua; Francis J Doyle; Efstratios N Pistikopoulos
Journal:  Med Biol Eng Comput       Date:  2009-02-13       Impact factor: 2.602

7.  Chattering-free hybrid adaptive neuro-fuzzy inference system-particle swarm optimisation data fusion-based BG-level control.

Authors:  Ali Karsaz
Journal:  IET Syst Biol       Date:  2020-02       Impact factor: 1.615

8.  Population physiology: leveraging electronic health record data to understand human endocrine dynamics.

Authors:  D J Albers; George Hripcsak; Michael Schmidt
Journal:  PLoS One       Date:  2012-12-14       Impact factor: 3.240

9.  Observer-based state feedback for enhanced insulin control of type 'i' diabetic patients.

Authors:  Ali Hariri; Le Yi Wang
Journal:  Open Biomed Eng J       Date:  2011-12-30

10.  Dynamical phenotyping: using temporal analysis of clinically collected physiologic data to stratify populations.

Authors:  D J Albers; Noémie Elhadad; E Tabak; A Perotte; George Hripcsak
Journal:  PLoS One       Date:  2014-06-16       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.