• DocumentCode
    890373
  • Title

    Importance of low-frequency impedance data for reliably quantifying parallel inhomogeneities of respiratory mechanics

  • Author

    Lutchen, Kenneth R. ; Hantos, Zoltán ; Jackson, Andrew C.

  • Author_Institution
    Dept. of Biomed. Eng., Boston Univ., MA, USA
  • Volume
    35
  • Issue
    6
  • fYear
    1988
  • fDate
    6/1/1988 12:00:00 AM
  • Firstpage
    472
  • Lastpage
    481
  • Abstract
    The ability to reliably measure total respiratory input impedance Zrs from 0.25 to 4 Hz has only recently been reported and only in healthy subjects. The real part of Zrs decreased substantially with frequency. One explanation is provided by the Otis model, which contains parallel resistance-compliance time-constant inhomogeneities. Several investigators have suggested the use of this model at the level of estimating its parameters by fitting the model to data. Such an approach would permit quantification of the functional inhomogeneity of an individual´s respiratory system and may be useful diagnostically. In this study, experimental data and a sensitivity analysis are combined to specify the requirements and limitations associated with estimating the parameters. The data acquisition technique was improved to acquire Zrs as low as 0.125 Hz in seven healthy subjects. The Otis model provided an excellent fit to the data with reasonably low intra- and intersubject variability.
  • Keywords
    pneumodynamics; 0.125 to 4 Hz; Otis model; data acquisition technique; healthy subjects; low-frequency impedance data; parallel inhomogeneities; respiratory mechanics; sensitivity analysis; Biomedical measurements; Data acquisition; Frequency; Frequency estimation; Impedance measurement; Laboratories; Lungs; Mouth; Parameter estimation; Pressure measurement; Respiratory system; Sensitivity analysis; Uncertain systems; Adult; Airway Resistance; Humans; Male; Models, Biological; Reference Values; Respiration;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/10.2118
  • Filename
    2118