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

Janusauskas, A. ; Marozas, V. ; Engdahl, B. ; Hoffman, H. ; Svensson, Owe LU and Sörnmo, Leif LU (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.
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author
; ; ; ; and
organization
publishing date
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}},
}