• DocumentCode
    1383534
  • Title

    Wavelet analysis of click-evoked otoacoustic emissions

  • Author

    Tognola, Gabriella ; Grandori, Ferdinando ; Ravazzani, Paolo

  • Author_Institution
    Dept. of Biomed. Eng., Politecnico di Milano, Italy
  • Volume
    45
  • Issue
    6
  • fYear
    1998
  • fDate
    6/1/1998 12:00:00 AM
  • Firstpage
    686
  • Lastpage
    697
  • Abstract
    Time-frequency distribution methods are being widely used for the analysis of a variety of biomedical signals. Recently, they have been applied also to study otoacoustic emissions (OAEs), the active acoustic response of the hearing end organ. Click-evoked otoacoustic emissions (CEOAEs) are time-varying signals with a clear frequency dispersion along with the time axis. Analysis of CEOAEs is of considerable interest due to their close relation with cochlear mechanisms. In this paper, several basic time-frequency distribution methods are considered and compared on the basis of both simulated signals and real CEOAEs. The particular structure of CEOAE´s requires a method with both a satisfactory time and frequency resolution. Results from simulations and real CEOAEs revealed that the wavelet approach is highly suitable for the analysis of such signals. Some examples of the application of the wavelet transform to CEOAEs are provided here. Applications range from the extraction of normative data from adult and neonatal OAEs to the extraction of quantitative parameters for clinical purposes.
  • Keywords
    acoustic signal processing; medical signal processing; otoacoustic emissions; time-frequency analysis; wavelet transforms; active acoustic response; adult signals; click-evoked otoacoustic emissions; clinical analysis; frequency dispersion; frequency resolution; neonatal signals; normative data extraction; quantitative parameters; time-varying signals; wavelet analysis; Acoustic emission; Analytical models; Auditory system; Biomedical acoustics; Data mining; Signal analysis; Signal resolution; Time frequency analysis; Wavelet analysis; Wavelet transforms; Adult; Evoked Potentials; Fourier Analysis; Hearing Loss, Noise-Induced; Humans; Infant, Newborn; Linear Models; Models, Biological; Models, Statistical; Nonlinear Dynamics; Otoacoustic Emissions, Spontaneous; Reference Values; Signal Processing, Computer-Assisted;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/10.678603
  • Filename
    678603