• DocumentCode
    3381324
  • Title

    Evaluation of an adaptive algorithm for fuzzy type-2 control in blood pressure regulation

  • Author

    Sprunk, Nicole ; Garcia, Alejandro Mendoza ; Bauernschmitt, Robert ; Knoll, Aaron

  • Author_Institution
    Insititute of Robot. & Embedded Syst., Tech. Univ. Munchen, Munich, Germany
  • fYear
    2013
  • fDate
    7-10 July 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The use of fuzzy logic in the medical environment is very promising as it offers the possibility to incorporate the knowledge and experience of the physician into fuzzy sets and rules. The type-2 fuzzy logic makes it even possible to incorporate the knowledge of several physicians into a single controller, thus enhancing it with the uncertainty present among different physicians. Once the controller is defined the outputs depend solely on its current inputs. It does not take any process information into account. For that purpose the controller is enhanced with an adaptive algorithm. It allows gradual changes by also keeping the initial rules, which had been defined by the physician and are helping for his comprehension of how rules are being applied. The type-2 fuzzy controller and the adaptive algorithm are described and compared to each other in the application of blood pressure regulation with drugs.
  • Keywords
    adaptive control; drugs; fuzzy set theory; medical control systems; adaptive algorithm; blood pressure regulation; drugs; fuzzy sets; fuzzy type-2 control; medical environment; type-2 fuzzy controller; type-2 fuzzy logic; Adaptive algorithms; Blood pressure; Drugs; Fuzzy logic; Fuzzy sets; Oscillators; Comparision of different fuzzy controllers; adaptive algorithm; blood pressure regulation with medication; control problem; fuzzy type-2; medical application;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems (FUZZ), 2013 IEEE International Conference on
  • Conference_Location
    Hyderabad
  • ISSN
    1098-7584
  • Print_ISBN
    978-1-4799-0020-6
  • Type

    conf

  • DOI
    10.1109/FUZZ-IEEE.2013.6622339
  • Filename
    6622339