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Detection of Hearing Loss in Audiological Frequencies from Transient Evoked Otoacoustic Emissions

Janusauskas, Arturas; Marozas, Vaidotas; Lukosevicius, Arunas and Sörnmo, Leif LU (2010) In Informatica 21(2). p.191-204
Abstract
Transient evoked otoacoustic emissions (TEOAEs) have been analyzed for objective assessment of hearing function and monitoring of the influence of noise exposure and ototoxic drugs. This paper presents a novel application of the Hilbert-Huang transform (HHT) for detection and time-frequency mapping of TEOAEs. Since the HHT does not distinguish between signal and noise, it is combined with ensemble correlation in order to extract signal information in intervals with correlated activity. High resolution time-frequency mapping could predict 30 dB(HL), or higher hearing loss, at different audiological frequencies in 63-90% of the cases and normal hearing in 75-90% of the cases. The proposed method offers TEOAE time-frequency mapping by... (More)
Transient evoked otoacoustic emissions (TEOAEs) have been analyzed for objective assessment of hearing function and monitoring of the influence of noise exposure and ototoxic drugs. This paper presents a novel application of the Hilbert-Huang transform (HHT) for detection and time-frequency mapping of TEOAEs. Since the HHT does not distinguish between signal and noise, it is combined with ensemble correlation in order to extract signal information in intervals with correlated activity. High resolution time-frequency mapping could predict 30 dB(HL), or higher hearing loss, at different audiological frequencies in 63-90% of the cases and normal hearing in 75-90% of the cases. The proposed method offers TEOAE time-frequency mapping by constraining the analysis to regions with high signal-to-noise ratios. The results suggest that the HI-IT is suitable for hearing loss detection at individual frequencies and characterization of the fine structures of TEOAEs. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
objective hearing level estimation, time-frequency mapping, Hilbert transform, signal processing, empirical mode decomposition, emissions, otoacoustic
in
Informatica
volume
21
issue
2
pages
191 - 204
publisher
Slovenian Society Informatika
external identifiers
  • wos:000279506000003
  • scopus:77954805606
ISSN
0868-4952
language
English
LU publication?
yes
id
98247d96-26c4-4963-ba2f-f99c6f774c8a (old id 1657939)
alternative location
http://www.mii.lt/informatica/htm/INFO785.htm
date added to LUP
2010-08-20 09:54:59
date last changed
2018-05-29 09:57:01
@article{98247d96-26c4-4963-ba2f-f99c6f774c8a,
  abstract     = {Transient evoked otoacoustic emissions (TEOAEs) have been analyzed for objective assessment of hearing function and monitoring of the influence of noise exposure and ototoxic drugs. This paper presents a novel application of the Hilbert-Huang transform (HHT) for detection and time-frequency mapping of TEOAEs. Since the HHT does not distinguish between signal and noise, it is combined with ensemble correlation in order to extract signal information in intervals with correlated activity. High resolution time-frequency mapping could predict 30 dB(HL), or higher hearing loss, at different audiological frequencies in 63-90% of the cases and normal hearing in 75-90% of the cases. The proposed method offers TEOAE time-frequency mapping by constraining the analysis to regions with high signal-to-noise ratios. The results suggest that the HI-IT is suitable for hearing loss detection at individual frequencies and characterization of the fine structures of TEOAEs.},
  author       = {Janusauskas, Arturas and Marozas, Vaidotas and Lukosevicius, Arunas and Sörnmo, Leif},
  issn         = {0868-4952},
  keyword      = {objective hearing level estimation,time-frequency mapping,Hilbert transform,signal processing,empirical mode decomposition,emissions,otoacoustic},
  language     = {eng},
  number       = {2},
  pages        = {191--204},
  publisher    = {Slovenian Society Informatika},
  series       = {Informatica},
  title        = {Detection of Hearing Loss in Audiological Frequencies from Transient Evoked Otoacoustic Emissions},
  volume       = {21},
  year         = {2010},
}