• DocumentCode
    1951851
  • Title

    Clinical evaluation and interpretation of a proportional-derivative control model for endogenous insulin secretion response to glucose

  • Author

    Othman, N.A. ; Docherty, Paul ; Jamaludin, Ummu K. ; Chase, G.

  • Author_Institution
    Dept. of Mech. Eng., Univ. of Canterbury, Christchurch, New Zealand
  • fYear
    2012
  • fDate
    17-19 Dec. 2012
  • Firstpage
    316
  • Lastpage
    320
  • Abstract
    Endogenous insulin (UN) is secreted by pancreatic β cells and plays a key role in regulating blood glucose (BG) concentration. Measuring UN can enable early diagnosis of metabolic dysfunction long before elevated BG might occur. The DISST is a dynamic test that quantifies patient-specific insulin sensitivity (SI) and UN profiles. It uses glucose, insulin and C-peptide models to identify SI and a UN profile from measured concentrations. This study proposes a simple proportional-derivative (PD) control model to define insulin secretion as a function of increasing glucose (derivative control, ΦD) and glucose above basal (proportional control, ΦP). The PD model of UN was fit to 46 DISST tests from 18 individuals. The model agreement was good (median residual 8.0 pmol·L-1, IQR: -50.9 to 51.9 pmol·L-1) and trends were observed at a population level that match known observations. This research presented a PD model to characterise patient-specific UN profiles in such a way that tests responses across tests of different dosage could be more accurately compared.
  • Keywords
    PD control; biochemistry; biomedical engineering; biomedical measurement; blood; patient diagnosis; C-peptide model; DISST tests; PD control model; blood glucose concentration; dosage; dynamic test; endogenous insulin secretion; glucose model; insulin model; insulin sensitivity; median residual; metabolic dysfunction diagnosis; pancreatic beta cells; patient-specific SI profiles; patient-specific UN profiles; population level; proportional-derivative control model; Insulin sensitivity; Insution secretion; Parameter Identification; Proportional derivative control; Type 2 diabetes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Sciences (IECBES), 2012 IEEE EMBS Conference on
  • Conference_Location
    Langkawi
  • Print_ISBN
    978-1-4673-1664-4
  • Type

    conf

  • DOI
    10.1109/IECBES.2012.6498161
  • Filename
    6498161