• DocumentCode
    880427
  • Title

    Expert PID control system for blood glucose control in critically ill patients

  • Author

    Chee, Frederick ; Fernando, Tyrone L. ; Savkin, Andrey V. ; Van Heeden, Vernon

  • Author_Institution
    Sch. of Electr., Electron. & Comput. Eng., Univ. of Western Australia, Crawley, WA, Australia
  • Volume
    7
  • Issue
    4
  • fYear
    2003
  • Firstpage
    419
  • Lastpage
    425
  • Abstract
    In this paper, the design of an expert proportional-integral-derivative (PID) control system for blood glucose regulation in patients, such as the intensive care population, is described. The control system applied the concept of expert system, and proportional, integral and derivative control in clinical sliding table technique, to effect a control algorithm in the form of an "active" sliding table that is used to prescribe insulin infusion rates. This combination provided dynamic properties to the sliding table control. Clinical results have shown a comparable performance between the control system and routine clinical treatment, in terms of blood glucose level maintained. Nevertheless, the control system is sensitive to sensor reading artefact, particularly in the lower ranges of blood glucose level, mandating manual intervention.
  • Keywords
    biocontrol; blood; chemical variables control; closed loop systems; covariance analysis; drug delivery systems; least squares approximations; medical expert systems; regression analysis; sugar; three-term control; ANCOVA; active sliding table; blood glucose control; bolus giving mechanism; clinical sliding table technique; closed-loop control system; control algorithm; critically ill patients; expert PID control system; hourly scheduling part; insulin infusion rates; intensive care; least square regression; sensor reading artefact; Blood; Control systems; Expert systems; Insulin; PD control; Pi control; Proportional control; Sensor systems; Sugar; Three-term control; Adult; Aged; Blood Glucose; Critical Care; Critical Illness; Drug Therapy, Computer-Assisted; Expert Systems; Feedback; Female; Glucose Metabolism Disorders; Humans; Insulin; Insulin Infusion Systems; Male; Middle Aged; Treatment Outcome;
  • fLanguage
    English
  • Journal_Title
    Information Technology in Biomedicine, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1089-7771
  • Type

    jour

  • DOI
    10.1109/TITB.2003.821326
  • Filename
    1263914