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Multiscale detection of transient evoked otoacoustic emissions

Marozas, Vaidotas ; Janusauskas, Arturas ; Lukosevicius, Arunas and Sörnmo, Leif LU (2006) In IEEE Transactions on Biomedical Engineering 53(8). p.1586-1593
Abstract
This paper presents a unified approach to multiscale detection of transient evoked otoacoustic emissions (TEOAEs). Using statistical detection theory, it is shown that the optimal detector involves a time windowing operation where the window can be estimated from ensemble correlation information. The detector performs adaptive splitting of the signal into different frequency bands using either wavelet or wavelet packet decomposition. A simplified detector is proposed in. which signal energy is omitted. The results show that the simplified detector performs significantly better than existing TEOAE detectors based on wave reproducibility or the modified variance ratio, whereas the. detector involving signal energy does not offer such a... (More)
This paper presents a unified approach to multiscale detection of transient evoked otoacoustic emissions (TEOAEs). Using statistical detection theory, it is shown that the optimal detector involves a time windowing operation where the window can be estimated from ensemble correlation information. The detector performs adaptive splitting of the signal into different frequency bands using either wavelet or wavelet packet decomposition. A simplified detector is proposed in. which signal energy is omitted. The results show that the simplified detector performs significantly better than existing TEOAE detectors based on wave reproducibility or the modified variance ratio, whereas the. detector involving signal energy does not offer such a performance advantage. (Less)
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author
; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
IEEE Transactions on Biomedical Engineering
volume
53
issue
8
pages
1586 - 1593
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • pmid:16916093
  • wos:000239263400014
  • scopus:33746584450
ISSN
1558-2531
DOI
10.1109/TBME.2006.876626
language
English
LU publication?
yes
id
2dcb4f1f-90c6-44f6-ba46-451cc861b227 (old id 401380)
date added to LUP
2016-04-01 16:30:07
date last changed
2020-01-12 19:26:13
@article{2dcb4f1f-90c6-44f6-ba46-451cc861b227,
  abstract     = {This paper presents a unified approach to multiscale detection of transient evoked otoacoustic emissions (TEOAEs). Using statistical detection theory, it is shown that the optimal detector involves a time windowing operation where the window can be estimated from ensemble correlation information. The detector performs adaptive splitting of the signal into different frequency bands using either wavelet or wavelet packet decomposition. A simplified detector is proposed in. which signal energy is omitted. The results show that the simplified detector performs significantly better than existing TEOAE detectors based on wave reproducibility or the modified variance ratio, whereas the. detector involving signal energy does not offer such a performance advantage.},
  author       = {Marozas, Vaidotas and Janusauskas, Arturas and Lukosevicius, Arunas and Sörnmo, Leif},
  issn         = {1558-2531},
  language     = {eng},
  number       = {8},
  pages        = {1586--1593},
  publisher    = {IEEE - Institute of Electrical and Electronics Engineers Inc.},
  series       = {IEEE Transactions on Biomedical Engineering},
  title        = {Multiscale detection of transient evoked otoacoustic emissions},
  url          = {http://dx.doi.org/10.1109/TBME.2006.876626},
  doi          = {10.1109/TBME.2006.876626},
  volume       = {53},
  year         = {2006},
}