• DocumentCode
    333571
  • Title

    Identification of the parameters of a glucose/insulin control model based on individually monitored self-control data in diabetes care

  • Author

    Salzsieder, E. ; Rutscher, A.

  • Author_Institution
    Inst. of Diabetes, Karlsburg, Germany
  • Volume
    6
  • fYear
    1998
  • fDate
    29 Oct-1 Nov 1998
  • Firstpage
    3123
  • Abstract
    Intensified diabetes treatment including education and training in self-management of blood glucose control has become a permanent task for all people involved in diabetes care, To support this process the interactive computer program KADIS(R) (Karlsburger Diabetes Management System) has been developed and realised. The entire program comprises tools for handling of the self-control data, for automatic adjustment of the program to the individual self-control data of a given patient, and for model-based prediction of the apparent effects of self selected therapeutic measures on the 24 h-blood glucose profiles. To enable easy handling of the program without any special experience in medical informatics, KADIS(R) comprises also a problem-oriented knowledge base to visualise dose- and time-dependent-action profiles of therapeutically administered insulin formulations, of dose-dependent resorption profiles of various foodstuffs, and of dose- and time-dependent profiles of insulin action equivalents of exercise. The feasibility and acceptance of the prototype version of the program which is written in DELPHIR was successfully tested in 43 young diabetic children of either sex during a summer camp
  • Keywords
    biocontrol; blood; fuzzy control; medical expert systems; model reference adaptive control systems; physiological models; KADIS interactive computer program; Karlsburger Diabetes Management System; automatic adjustment; blood glucose control; diabetes care; dose-dependent resorption profiles; dose-dependent-action profiles; fuzzy logic based filter module; glucose/insulin control model; individually monitored self-control data; insulin action equivalents of exercise; model-based prediction; parameters identification; problem-oriented knowledge base; self selected therapeutic measures; state model; time-dependent-action profiles; Automatic control; Blood; Computer science education; Control systems; Diabetes; Educational programs; Insulin; Management training; Predictive models; Sugar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE
  • Conference_Location
    Hong Kong
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-5164-9
  • Type

    conf

  • DOI
    10.1109/IEMBS.1998.746154
  • Filename
    746154