Title :
Wavelet analysis of click-evoked otoacoustic emissions
Author :
Tognola, Gabriella ; Grandori, Ferdinando ; Ravazzani, Paolo
Author_Institution :
Dept. of Biomed. Eng., Politecnico di Milano, Italy
fDate :
6/1/1998 12:00:00 AM
Abstract :
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.
Keywords :
acoustic signal processing; medical signal processing; otoacoustic emissions; time-frequency analysis; wavelet transforms; active acoustic response; adult signals; click-evoked otoacoustic emissions; clinical analysis; frequency dispersion; frequency resolution; neonatal signals; normative data extraction; quantitative parameters; time-varying signals; wavelet analysis; Acoustic emission; Analytical models; Auditory system; Biomedical acoustics; Data mining; Signal analysis; Signal resolution; Time frequency analysis; Wavelet analysis; Wavelet transforms; Adult; Evoked Potentials; Fourier Analysis; Hearing Loss, Noise-Induced; Humans; Infant, Newborn; Linear Models; Models, Biological; Models, Statistical; Nonlinear Dynamics; Otoacoustic Emissions, Spontaneous; Reference Values; Signal Processing, Computer-Assisted;
Journal_Title :
Biomedical Engineering, IEEE Transactions on