Otoacoustic emissions and improved pass/fail separation using wavelet analysis and time windowing
(2001) In Medical & Biological Engineering & Computing 39(1). p.134-139- 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.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1758877
- author
- Janusauskas, A. ; Marozas, V. ; Engdahl, B. ; Hoffman, H. ; Svensson, Owe LU and Sörnmo, Leif LU
- organization
- publishing date
- 2001
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Medical & Biological Engineering & Computing
- volume
- 39
- issue
- 1
- pages
- 134 - 139
- publisher
- Springer
- external identifiers
-
- scopus:0035147246
- ISSN
- 0140-0118
- DOI
- 10.1007/BF02345277
- language
- English
- LU publication?
- yes
- id
- 95584e6d-5c95-4b46-835e-d35f693aaf1d (old id 1758877)
- date added to LUP
- 2016-04-04 09:45:29
- date last changed
- 2022-02-06 04:56:01
@article{95584e6d-5c95-4b46-835e-d35f693aaf1d, 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 = {{Janusauskas, A. and Marozas, V. and Engdahl, B. and Hoffman, H. and Svensson, Owe and Sörnmo, Leif}}, issn = {{0140-0118}}, language = {{eng}}, number = {{1}}, pages = {{134--139}}, publisher = {{Springer}}, series = {{Medical & Biological Engineering & Computing}}, title = {{Otoacoustic emissions and improved pass/fail separation using wavelet analysis and time windowing}}, url = {{http://dx.doi.org/10.1007/BF02345277}}, doi = {{10.1007/BF02345277}}, volume = {{39}}, year = {{2001}}, }