Computational study of an augmented minimal model for glycaemia control

Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"

Volumn , Issue , 2008, Pages 5445-5448

  Markakis, Mihalis G ^a,b   Mitsis, Georgios D ^c   Marmarelis, Vasilis Z ^a  

^a University of Southern California   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^c NATIONAL TECHNICAL UNIVERSITY OF ATHENS   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

GLUCOSE;

BLOOD GLUCOSE; COMPUTATIONAL STUDIES; GLUCOSE DYNAMICS; HEALTHY SUBJECTS; METABOLIC EFFECTS; NON-LINEAR MODEL; NON-PARAMETRIC; PRINCIPAL DYNAMIC MODES;

INSULIN;

ANTIDIABETIC AGENT; INSULIN;

ARTICLE; BIOLOGICAL MODEL; BLOOD; COMPUTER ASSISTED DRUG THERAPY; COMPUTER SIMULATION; GLUCOSE BLOOD LEVEL; HUMAN; INTRAVENOUS DRUG ADMINISTRATION; METABOLISM; METHODOLOGY; NON INSULIN DEPENDENT DIABETES MELLITUS;

BLOOD GLUCOSE; COMPUTER SIMULATION; DIABETES MELLITUS, TYPE 2; DRUG THERAPY, COMPUTER-ASSISTED; HUMANS; HYPOGLYCEMIC AGENTS; INJECTIONS, INTRAVENOUS; INSULIN; MODELS, BIOLOGICAL;

EID: 61849085227     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/iembs.2008.4650446     Document Type: Conference Paper

References (14)

1. J. Sorensen, "A physiological model of glucose metabolism in man and its use to design and assess improved insulin therapies for diabetes", PhD Thesis, Massachusetts Institute of Technology, 1985.
2. C. Cobelli and A. Mari, "Validation of mathematical model of complex endocrine-metabolic systems. A case study on a model of glucose regulation", Medical & Biological Engineering & Computing, 1983, pp. 390-399.
3. W. Puckett, "Dynamic modeling of diabetes mellitus", PhD Thesis, University of Wisconsin-Madison, 1992.
4. R. Bergman, N. Phillips and C. Cobelli, "Physiologic evaluation of factors controlling glucose tolerance in man", Journal of Clinical Investigations, 1981, pp. 1456-1467.
5. G. Toffolo, R. Bergman, D. Finegood, C. Bowden, and C. Cobelli, "Quantitative estimation of beta cell sensitivity to glucose in the intact organism: a minimal model of insulin kinetics in the dog", Diabetes, 1980, pp. 979-990.
6. R. Hovorka, F. Shojaee-Moradie, P. Carroll, L. Chassin, I. Gowrie, N. Jackson, R. Tudor, A. Umpleby and R. Jones, "Partitioning glucose distribution/transport, disposal, and endogenous production during IVGTT", American Journal of Physiology, 2002, pp. 992-1007.
7. A. Roy and R. Parker, "Dynamic modeling of free fatty acid, glucose, and insulin: An extended minimal model", Diabetes Technology and Therapeutics, 2006, 617-626.
8. th IEEE EMBS Annual International Conference, New York, 2006, pp. 5432-5435.
9. N. Porksen, "The in vivo regulation of pulsatile insulin secretion", Diabetologia, 2002, pp. 3-20.
10. R. Parker, F. Doyle III and N. Peppas, "A Model-Based Algorithm for Blood Glucose Control in Type I Diabetic Patients", IEEE Transactions on Biomedical Engineering, 1999, pp. 148-157.
11. R. Parker, F. Doyle III, J. Ward & N. Peppas, "Robust H∞ glucose control in diabetes using a physiological model", American Institute of Chemical Engineering Journal, 2000, pp. 2537-2549.
12. S. Lynch & B. Bequette, "Model predictive control of blood glucose in Type 1 diabetics using subcutaneous glucose measurements", Proceedings of the American Control Conference, Anchorage, 2002, pp. 4039-4043.
13. V. Marmarelis, "Modeling methodology for nonlinear physiological systems", Annals of Biomedical Engineering, 1997, pp. 239-251.
14. th IEEE Conference on Decision and Control, San Diego, 2006, pp. 685-690.