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    Integral-based identification of a physiological insulin and glucose model on euglycaemic clamp trials and IVGTT trials (Invited)

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    Author
    Lotz, T.
    Chase, J.G.
    McAuley, K.A.
    Lin, J.
    Wong, J.
    Hann, C.E.
    Andreassen, S.
    Date
    2006
    Permanent Link
    http://hdl.handle.net/10092/177

    Modelling can enhance the diagnosis and control of metabolic disorders. Clinical effectiveness demands physiological accuracy, patient specificity and identification with limited data. A two-compartment insulin kinetics model and associated insulin-glucose pharmacodynamics are presented. Similarities with a well validated C-peptide model are used to simplify parameter identification. Critical patient specific parameters are identified using a novel convex, integral-based method. The model and methods are validated using euglycaemic- hyperinsulinemic clamp data (N=146). The identified parameter values are within reported physiological ranges. The mean errors in the resulting glucose and insulin profiles are eG = 5.9% ± 6.6% SD and eI = 6.2% ± 6.4% SD, which are within measurement error.

    Subjects
    Metabolic systems
     
    Physiological models
     
    System identification
     
    Insulin sensitivity
     
    Integrals
     
    Fields of Research::290000 Engineering and Technology::291500 Biomedical Engineering
    Collections
    • Engineering: Conference Contributions [1920]
    Rights
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