Otoacoustic emissions and improved pass/fail separation using wavelet analysis and time windowing
Janusauskas, A.; Marozas, V.; Engdahl, B.; Hoffman, H., et al. (2001). Otoacoustic emissions and improved pass/fail separation using wavelet analysis and time windowing. Medical & Biological Engineering & Computing, 39, (1), 134 - 139
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Published
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English
Authors:
Janusauskas, A.
;
Marozas, V.
;
Engdahl, B.
;
Hoffman, H.
, et al.
Department:
Department of Electrical and Information Technology
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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