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

A. Janusauskas; V. Marozas; B. Engdahl; H. Hoffman; Owe Svensson; Leif Sörnmo

doi:10.1007/BF02345277

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

A. Janusauskas, V. Marozas, B. Engdahl, H. Hoffman, Owe Svensson, Leif Sörnmo

Department of Electrical and Information Technology

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	134-139
Journal	Medical & Biological Engineering & Computing
Volume	39
Issue number	1
DOIs	https://doi.org/10.1007/BF02345277
Publication status	Published - 2001

Subject classification (UKÄ)

Other Medical Engineering

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10.1007/BF02345277

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title = "Otoacoustic emissions and improved pass/fail separation using wavelet analysis and time windowing",

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.",

author = "A. Janusauskas and V. Marozas and B. Engdahl and H. Hoffman and Owe Svensson and Leif S{\"o}rnmo",

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T1 - Otoacoustic emissions and improved pass/fail separation using wavelet analysis and time windowing

AU - Janusauskas, A.

AU - Marozas, V.

AU - Engdahl, B.

AU - Hoffman, H.

AU - Svensson, Owe

AU - Sörnmo, Leif

PY - 2001

Y1 - 2001

N2 - 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.

AB - 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.

U2 - 10.1007/BF02345277

DO - 10.1007/BF02345277

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SP - 134

EP - 139

JO - Medical & Biological Engineering & Computing

JF - Medical & Biological Engineering & Computing

IS - 1

ER -

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

Abstract

Subject classification (UKÄ)

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