• DocumentCode
    2049387
  • Title

    A fuzzy logic based decision support system for low-flow closed-loop anaesthesia

  • Author

    Hooper, Belinda ; Hu, Xiheng ; Jaros, Gyorgy ; Baker, Barry

  • Author_Institution
    Dept. of Electr. Eng., Sydney Univ., NSW, Australia
  • Volume
    3
  • fYear
    1997
  • fDate
    1-5 Jul 1997
  • Firstpage
    1615
  • Abstract
    Low-flow closed loop anaesthesia is the controlled administration of the minimum amount of respiratory and anaesthetic gases required to anaesthetise the patient. At present, the control procedure is manual, with the anaesthetist visually assessing the volume of the reservoir bag and the inspiratory and expiratory gas concentrations. Considering this, the application of fuzzy logic to clinical anasethesia seems ideal. The design of such a system is in two stages. The first stage is of a single gas (oxygen) system, operating in an open decision support mode, based on the `expert knowledge´ of an anaesthetist. Once the design is clinically optimised, the feedback loop will be closed to provide the automatic control of oxygen only. The second stage of the project is the extension of the system to handle other anaesthetic gases. A graphical user interface, interlaced with a software-driven simulation of the controller, was designed to aid the clinical evaluation and to display the system components
  • Keywords
    decision support systems; fuzzy logic; medical expert systems; patient monitoring; surgery; anaesthetic gas administration; decision support system; fuzzy logic; graphical user interface; low-flow closed-loop anaesthesia; oxygen; respiratory gas; surgery; Anesthesia; Automatic control; Biomedical monitoring; Control systems; Decision support systems; Design optimization; Fuzzy logic; Gases; Patient monitoring; Reservoirs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 1997., Proceedings of the Sixth IEEE International Conference on
  • Conference_Location
    Barcelona
  • Print_ISBN
    0-7803-3796-4
  • Type

    conf

  • DOI
    10.1109/FUZZY.1997.619782
  • Filename
    619782