• DocumentCode
    380932
  • Title

    Performance monitoring of diabetic patient systems

  • Author

    Owens, Camelia L. ; Doyle, Francis J., III

  • Author_Institution
    Dept. of Chem. Eng., Delaware Univ., Newark, DE, USA
  • Volume
    2
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    2047
  • Abstract
    The minimum variance performance measure is applied to two diabetic patient models under simulated fault scenarios. The Bergman model and the automated insulin dosage advisor, are controlled in the internal model control framework to achieve adequate blood glucose levels. The focus of the paper is to reflect the importance and feasibility of implementing a detection and diagnosis tool such as the minimum variance performance benchmark to an implantable device for diabetics to guarantee adequate control of blood glucose levels.
  • Keywords
    biocontrol; blood; diseases; patient monitoring; performance index; physiological models; prosthetics; transfer functions; Bergman model; automated insulin dosage advisor; blood glucose levels; detection-diagnosis tool; diabetic patient systems; implantable device; implantable insulin infusion pumps; internal model control; minimum variance performance measure; performance monitoring; simulated fault scenarios; Absorption; Automatic control; Blood; Diabetes; Equations; Insulin; Kinetic theory; Patient monitoring; Physiology; Sugar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-7211-5
  • Type

    conf

  • DOI
    10.1109/IEMBS.2001.1020635
  • Filename
    1020635