• DocumentCode
    1572869
  • Title

    Respiratory Flow Estimation from Tracheal Sound by Adaptive Filters

  • Author

    Golabbakhsh, M. ; Moussavi, Z. ; Aboofazeli, M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man.
  • fYear
    2006
  • Firstpage
    4216
  • Lastpage
    4219
  • Abstract
    In this study, average power of tracheal sound (Pave) was used to estimate flow by parametric method as well as adaptive filters as a nonparametric method. Based on some preliminary studies, an exponential model was used for describing the relationship between flow and Pave for parametric method. It was assumed that flow signal of at least one breath from each target flow is available for calibration. The error for flow estimation with parametric method, was found to be 9plusmn3% and 10plusmn4% for inspiration and expiration, respectively. Considering nonparametric method, the estimation error was the least for the third order adaptive filter using the average power of the tracheal sound (dB), which was 10plusmn3 % and 11plusmn4 % for inspiration and expiration, respectively
  • Keywords
    adaptive filters; bioacoustics; calibration; medical signal processing; pneumodynamics; adaptive filters; calibration; estimation error; expiration; inspiration; nonparametric method; parametric method; respiratory flow estimation; tracheal sound; Accelerometers; Adaptive filters; Aging; Calibration; Cutoff frequency; Estimation error; Fluid flow measurement; Microphones; Pediatrics; Pressure measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
  • Conference_Location
    Shanghai
  • Print_ISBN
    0-7803-8741-4
  • Type

    conf

  • DOI
    10.1109/IEMBS.2005.1615394
  • Filename
    1615394