Otoacoustic emissions and improved pass/fail separation using wavelet analysis and time windowing |
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| Authors: | A. Janušauskas V. Marozas B. Engdahl H. J. Hoffman O. Svensson L. Sörnmo |
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| Affiliation: | (1) Signal Processing Group, Department of Applied Electronics, Lund University, Lund, Sweden;(2) Department of Biomedical Engineering, Kaunas University of Technology, Kaunas, Lithuania;(3) Department of Environmental Medicine, National Institute of Public Health, Oslo, Norway;(4) Epidemiology, Statistics & Data System Branch, National Institute on Deafness and Other Communication Disorders, NIH, Bethesda, Maryland, USA |
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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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| Keywords: | Transiently evoked otoacoustic emissions Hearing screening Wavelets Denoising Time windowing |
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