• 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