• DocumentCode
    231842
  • Title

    A recursive parameter estimation method for identifying respiratory systems

  • Author

    Nakamichi, Masanori ; Kanae, Shunshoku

  • Author_Institution
    Fukui Univ. of Technol., Fukui, Japan
  • fYear
    2014
  • fDate
    28-30 July 2014
  • Firstpage
    4557
  • Lastpage
    4561
  • Abstract
    The ventilation condition of artificial respiration should be set carefully, and the setting is expected to match individual pulmonary characteristic of each patient. To this purpose, the pulmonary elastance estimation method based on fuzzy logic has been proposed by the authors. In this paper, a recursive estimation method of estimating respiratory system is addressed to improve the accuracy of estimated model. Some examples by using practical clinic data are given to show the effectiveness of addressed method.
  • Keywords
    data handling; fuzzy logic; medical computing; parameter estimation; prosthetics; artificial respiration; fuzzy logic; practical clinic data; pulmonary characteristic; pulmonary elastance estimation method; recursive parameter estimation method; respiratory systems identification; ventilation condition; Atmospheric modeling; Equations; Estimation; Lungs; Mathematical model; Parameter estimation; artificial respiration; elastance; estimation; fuzzy; modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2014 33rd Chinese
  • Conference_Location
    Nanjing
  • Type

    conf

  • DOI
    10.1109/ChiCC.2014.6895706
  • Filename
    6895706