• DocumentCode
    3401168
  • Title

    Identification and control of human respiratory system using fuzzy relational modeling

  • Author

    Najarian, Kayvan ; Hajivandi, Mehrdad

  • Author_Institution
    Biomed. Eng. Dept., Amirkabir Univ. of Technol., Tehran, Iran
  • Volume
    2
  • fYear
    1995
  • fDate
    20-23 Sep 1995
  • Firstpage
    1423
  • Abstract
    A fuzzy computational method has been applied to control the arterial pressure of CO2 (paco2). The results indicate the capability of the method to overcome the problems caused by previous methods such as magnification of high frequency variations (above 0.3 breath/second) of paco2
  • Keywords
    biocontrol; fuzzy control; identification; physiological models; CO2; arterial pressure; fuzzy computational method; fuzzy relational modeling; high frequency variations magnification; human respiratory system; paco2; respiratory disorders; Biomedical engineering; Blood pressure; Frequency; Fuzzy control; Fuzzy sets; Fuzzy systems; Humans; Optimal control; Pressure control; Respiratory system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    0-7803-2475-7
  • Type

    conf

  • DOI
    10.1109/IEMBS.1995.579758
  • Filename
    579758
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3401168