DocumentCode :
2383409
Title :
Application of dynamic optimization-based parameter estimation to a diabetes mellitus patient model
Author :
Rivera-Montalvo, A.A. ; Stamps, A.T. ; Gatzke, E.P.
fYear :
2008
fDate :
11-13 June 2008
Firstpage :
1382
Lastpage :
1387
Abstract :
This work presents a method for modeling the effect of insulin infusion and meal disturbances in a patient with diabetes mellitus. The model used was presented by Bergman and later modified by Lynch and Bequette. This modified Bergman model is a simple set of four differential equations which account for blood glucose, blood insulin, free insulin and subcutaneous glucose concentration profiles in the body of a person with diabetes mellitus. Using subcutaneous blood sugar measurements and data for the response to insulin of a patient, it is possible to develop an accurate dynamic model, leading to the possibility of applying model-predictive control to help regulate the blood glucose levels of a patient. The initial parameters for the modified Bergman model were recovered from simulated data by performing dynamic optimizations using MAPLE, Matlabreg and IPOPT. In the future, this procedure could be tested using real data for a patient.
Keywords :
blood; differential equations; diseases; dynamic programming; mathematics computing; medical computing; medical control systems; parameter estimation; patient treatment; predictive control; Bergman model; IPOPT; MAPLE; Matlab; blood glucose; blood glucose level regulation; blood insulin; diabetes mellitus patient model; differential equation; dynamic optimization-based parameter estimation; free insulin; insulin infusion effect modeling; meal disturbance effect modeling; model-predictive control; subcutaneous glucose concentration profile; Blood; Current measurement; Diabetes; Differential equations; Insulin; Optimization methods; Parameter estimation; Plasmas; Sugar; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2008
Conference_Location :
Seattle, WA
ISSN :
0743-1619
Print_ISBN :
978-1-4244-2078-0
Electronic_ISBN :
0743-1619
Type :
conf
DOI :
10.1109/ACC.2008.4586685
Filename :
4586685
Link To Document :
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