Wavelet and matching pursuit estimates of the transient-evoked otoacoustic emission latency.
Different time-frequency techniques may be used to investigate the relation between latency and frequency of transient-evoked otoacoustic emissions. In this work, the optimization of these techniques and the interpretation of the experimental result are discussed. Time-frequency analysis of click-evoked otoacoustic emissions of 42 normal-hearing young subjects has been performed, using both wavelet and matching pursuit algorithms. Wavelet techniques are very effective to provide fast and reliable evaluation of the average latency of large samples of subjects. A major advantage of the matching pursuit technique, as observed by Jedrzejczak et al. [J. Acoust. Soc. Am. 115, 2148-2158 (2004)], is to provide detailed information about the time evolution of the response of single ears at selected frequencies. A hybrid matching pursuit algorithm that includes Fourier spectral information was developed, capable of speeding-up computation times and of identifying "spurious" atoms, whose latency-frequency relation is apparently anomalous. These atoms could be associated with several known phenomena, either intrinsic, such as intermodulation distortion, spontaneous emissions and multiple internal reflections, or extrinsic, such as instrumental noise, linear ringing and the acquisition window onset. A correct interpretation of these phenomena is important to get accurate estimates of the otoacoustic emission latency.
Notaro
Giuseppe
G
Physics Department, University of Roma Tor Vergata, Via della Ricerca Scientifica, 1, 00133 Roma, Italy.
Al-Maamury
Adnan Mohsin
AM
Moleti
Arturo
A
Sisto
Renata
R
D000161:Acoustic Stimulation; D000328:Adult; D000465:Algorithms; D001299:Audiometry; D001309:Auditory Threshold; D003051:Cochlea / Q000502:physiology*; D005583:Fourier Analysis; D006801:Humans; D008297:Male; D008954:Models, Biological; D017084:Otoacoustic Emissions, Spontaneous; D011930:Reaction Time; D012016:Reference Values; D012815:Signal Processing, Computer-Assisted; D013018:Sound Spectrography; D013997:Time Factors