• DocumentCode
    1210287
  • Title

    Parameter Estipiates in a Five-Element Respiratory Mechanical Model

  • Author

    Eyles, J.G. ; Pimmel, R.L. ; Fullten, J.M. ; Bromberg, P.A.

  • Author_Institution
    Department of Medicine, University of North Carolina
  • Issue
    6
  • fYear
    1982
  • fDate
    6/1/1982 12:00:00 AM
  • Firstpage
    460
  • Lastpage
    463
  • Abstract
    Using four sets of forced random noise impedance data from each of five normal subjects and five patients with obstructuve lung disease, we computed parameter estimates for a three-element series model and a five-element parallel compartment model. For normal subjects, the five-element model provided no better fit to the impedance data than did the simple series model. Estimates obtained from normal subjects using this three-element model were reasonable and reproducible within 25 percent. For all subjects with lung disease, the five-element model provided a significantly (p 0.05) better fit than the three-element model. Estimates for parameters representing central inertance and resistance, airway compliance, and peripheral resistance were reasonable and reproducible-within 18 percent. However, estimates for the compliance of the lung and chest wall were more variable since measured impedance appeared to be insensitive to this parameter in the frequency range used.
  • Keywords
    Concurrent computing; Diseases; Frequency estimation; Frequency measurement; Immune system; Impedance measurement; Iterative algorithms; Lungs; Parameter estimation; Respiratory system; Adult; Aged; Airway Resistance; Female; Humans; Lung Compliance; Lung Diseases, Obstructive; Male; Mathematics; Middle Aged; Models, Biological; Respiratory Function Tests;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.1982.324974
  • Filename
    4121444