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

作者信息

Janusauskas A, Marozas V, Engdahl B, Hoffman H J, Svensson O, Sörnmo L

机构信息

Department of Applied Electronics, Lund University, Sweden.

出版信息

Med Biol Eng Comput. 2001 Jan;39(1):134-9. doi: 10.1007/BF02345277.

DOI:10.1007/BF02345277
PMID:11214265
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 5,214 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.

摘要

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