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Otoacoustic emissions and improved pass/fail separation using wavelet analysis and time windowing

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Abstract

A new method is presented for the purpose of improving pass/fail separation during transient evoked otoacoustic emission (TEOAE) hearing screening. The method combines signal decomposition in scales using the discrete wavelet transform, non-linear denoising and scale-dependent time windowing. The cross-correlation coefficient between two subaveraged, processed TEOAE signals is used as a pass/fail criterion and assessed in relation to the pure-tone, mean hearing level. The performance is presented in terms of receiver operating characteristics for a database of 5214 individuals. The results show that the specificity improves from 68% to 83% at a sensitivity of 90% when compared with the conventional wave reproducibility parameter.

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Authors and Affiliations

  1. Signal Processing Group, Department of Applied Electronics, Lund University, Lund, Sweden

    A. Janušauskas, V. Marozas, O. Svensson & L. Sörnmo

  2. Department of Biomedical Engineering, Kaunas University of Technology, Kaunas, Lithuania

    A. Janušauskas & V. Marozas

  3. Department of Environmental Medicine, National Institute of Public Health, Oslo, Norway

    B. Engdahl

  4. Epidemiology, Statistics & Data System Branch, National Institute on Deafness and Other Communication Disorders, NIH, Bethesda, Maryland, USA

    H. J. Hoffman

Authors
  1. A. Janušauskas
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  2. V. Marozas
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  3. B. Engdahl
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  4. H. J. Hoffman
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  5. O. Svensson
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  6. L. Sörnmo
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Corresponding author

Correspondence to L. Sörnmo.

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Janušauskas, A., Marozas, V., Engdahl, B. et al. Otoacoustic emissions and improved pass/fail separation using wavelet analysis and time windowing. Med. Biol. Eng. Comput. 39, 134–139 (2001). https://doi.org/10.1007/BF02345277

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  • DOI: https://doi.org/10.1007/BF02345277

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