• DocumentCode
    1668503
  • Title

    Determination of Dynamic Respiratory Mechanics with the Adaptive Slice Method

  • Author

    Zhao, Zhanqi ; Möller, Knut ; Schumann, Stefan ; Guttmann, Josef

  • Author_Institution
    Biomed. Eng., Furtwangen Univ., Villingen-Schwenningen
  • fYear
    2008
  • Firstpage
    1686
  • Lastpage
    1689
  • Abstract
    Respiratory system mechanics are nonlinear, i.e. may depend on volume, pressure and flow [1, 2]. A new multipoint method is presented for simultaneously determining dynamic compliance and resistance based on the equation of motion. The adaptive slice method (ASM) is derived from the slice method [4], which divides a breathing cycle into several fixed volume slices. For each slice, one compliance value and one resistance value are calculated by applying a least-squares-fit (LSF) method. Since compliance and resistance values are not constant, the calculated values will be changing if the width of the corresponding slice is changed. Therefore, instead of applying a fixed width, the width of each slice is determined according to a quality measure based on the confidence interval of the parameter estimation. The method was evaluated by using simulated and animal data obtained from former experiments. The comparison with other methods shows that the adaptive determination of slice bounds results in more consistent parameter values.
  • Keywords
    biomedical measurement; least squares approximations; nonlinear dynamical systems; parameter estimation; pneumodynamics; adaptive slice method; breathing; dynamic respiratory compliance determination; dynamic respiratory mechanics; equation-of-motion; least-squares-fit method; parameter estimation; Animals; Data analysis; Immune system; Lungs; Nonlinear dynamical systems; Nonlinear equations; Parameter estimation; Piecewise linear approximation; Respiratory system; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-1747-6
  • Electronic_ISBN
    978-1-4244-1748-3
  • Type

    conf

  • DOI
    10.1109/ICBBE.2008.750
  • Filename
    4535630