Wavelet analysis of click-evoked otoacoustic emissions

Time-frequency distribution methods are being widely used for the analysis of a variety of biomedical signals. Recently, they have been applied also to study otoacoustic emissions (OAEs), the active acoustic response of the hearing end organ. Click-evoked otoacoustic emissions (CEOAEs) are time-vary...

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Bibliographic Details
Published in:IEEE transactions on biomedical engineering 1998-06, Vol.45 (6), p.686-697
Main Authors: Tognola, G., Grandori, F., Ravazzani, P.
Format: Article
Language:English
Subjects:
Acoustic emission
Adult
Analytical models
Auditory system
Biological and medical sciences
Biomedical acoustics
Data mining
Ear and associated structures. Auditory pathways and centers. Hearing. Vocal organ. Phonation. Sound production. Echolocation
Evoked Potentials
Fourier Analysis
Fundamental and applied biological sciences. Psychology
Hearing Loss, Noise-Induced - diagnosis
Humans
Infant, Newborn
Linear Models
Models, Biological
Models, Statistical
Nonlinear Dynamics
Otoacoustic Emissions, Spontaneous
Reference Values
Signal analysis
Signal Processing, Computer-Assisted
Signal resolution
Time frequency analysis
Vertebrates: nervous system and sense organs
Wavelet analysis
Wavelet transforms
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Summary:Time-frequency distribution methods are being widely used for the analysis of a variety of biomedical signals. Recently, they have been applied also to study otoacoustic emissions (OAEs), the active acoustic response of the hearing end organ. Click-evoked otoacoustic emissions (CEOAEs) are time-varying signals with a clear frequency dispersion along with the time axis. Analysis of CEOAEs is of considerable interest due to their close relation with cochlear mechanisms. In this paper, several basic time-frequency distribution methods are considered and compared on the basis of both simulated signals and real CEOAEs. The particular structure of CEOAE's requires a method with both a satisfactory time and frequency resolution. Results from simulations and real CEOAEs revealed that the wavelet approach is highly suitable for the analysis of such signals. Some examples of the application of the wavelet transform to CEOAEs are provided here. Applications range from the extraction of normative data from adult and neonatal OAEs to the extraction of quantitative parameters for clinical purposes.
ISSN:0018-9294
1558-2531
DOI:10.1109/10.678603