• DocumentCode
    1202229
  • Title

    Hypertension control during anesthesia. Fuzzy logic regulation of nicardipine infusion

  • Author

    Oshita, Shuzo ; Nakakimura, Kozuhiko ; Sakabe, Takefumi

  • Author_Institution
    Dept. of Anesthesiology, Yamaguchi Univ., Ube, Japan
  • Volume
    13
  • Issue
    5
  • fYear
    1994
  • Firstpage
    667
  • Lastpage
    670
  • Abstract
    In the present study, the authors used nicardipine as the hypotensive drug, and determined its infusion rate based on the state-action diagram of fuzzy control rules, that the authors developed, to evaluate the concept of Zadeh´s fuzzy logic controller. The authors then developed an automated blood pressure control system based on a fuzzy expert system, and evaluated its clinical efficacy and safety. The main characteristic of a fuzzy logic controller is that its action is very close to human judgement. It was concluded that the state-action diagram and the automated blood pressure controller, both of which were made possible with the concept of Zadeh´s fuzzy logic control rules, are satisfactory and safe methods of administering nicardipine.<>
  • Keywords
    biocontrol; fuzzy logic; haemodynamics; pressure control; Zadeh´s fuzzy logic controller; anesthesia; automated blood pressure controller; fuzzy logic regulation; hypertension control; hypotensive drug; nicardipine infusion; state-action diagram; Anesthesia; Automatic control; Blood pressure; Control systems; Drugs; Fuzzy control; Fuzzy logic; Hybrid intelligent systems; Hypertension; Pressure control;
  • fLanguage
    English
  • Journal_Title
    Engineering in Medicine and Biology Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0739-5175
  • Type

    jour

  • DOI
    10.1109/51.334626
  • Filename
    334626