Integral-based identification of a physiological insulin and glucose model on euglycaemic clamp trials and IVGTT trials (Invited)
Author
Date
2006Permanent Link
http://hdl.handle.net/10092/177Modelling 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.