DocumentCode :
337231
Title :
Estimation of minimal model parameters with the use of an adaptive observer for suprabasal insulin action
Author :
Nguyen, Hung ; Nguyen, Duy-Ky ; Shannon, Anthony ; Owens, David
Author_Institution :
Univ. of Technol., Sydney, NSW, Australia
Volume :
5
fYear :
1997
fDate :
1997
Firstpage :
2146
Abstract :
Based on the minimal model, insulin sensitivity (S1) and glucose effectiveness (SG) can be estimated from the results of an intravenous glucose tolerance test (IVGTT). However, this task is complex because the suprabasal insulin action (X) at any one time depends on the whole history of plasma insulin levels since the basal steady-state was disrupted. Here, the authors develop an adaptive observer for accurate estimation of insulin action (X). This adaptive observer forms the foundation of a new way to identify minimal model parameters. Compared to the well-known MINMOD program, this new technique is robust as it is less dependent on initial estimates, and accurate as it minimises both the plasma glucose error and insulin action error
Keywords :
biochemistry; blood; observers; organic compounds; parameter estimation; physiological models; MINMOD program; adaptive observer; diabetes; glucose effectiveness; insulin action error; intravenous glucose tolerance test; minimal model parameters estimation; plasma glucose error; plasma insulin levels history; suprabasal insulin action; Clamps; Diabetes; Educational institutions; Equations; Immune system; Insulin; Parameter estimation; Plasmas; Sugar; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
ISSN :
1094-687X
Print_ISBN :
0-7803-4262-3
Type :
conf
DOI :
10.1109/IEMBS.1997.758778
Filename :
758778
Link To Document :
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