DocumentCode :
1996508
Title :
Fast acquisition of otoacoustic emissions by means of principal component analysis
Author :
Ravazzani, P. ; Tognola, G. ; Parazzini, M. ; Grandori, F.
Author_Institution :
Centro di Ingegneria Biomedica, CNR, Milan, Italy
Volume :
2
fYear :
2001
fDate :
2001
Firstpage :
1907
Abstract :
Transient-Evoked Otoacoustic Emissions (TEOAE) are nonstationary acoustic signals coming from the inner ear after acoustic stimulation by clicks and they are applied as tools in newborn hearing screening programs to allow the early identification of hearing loss and the consequent diagnosis and intervention. In any screening program, the duration of each test is a crucial parameter. For TEOAE, it is strongly influenced by the acquisition procedure, typically based on classical synchronous averaging technique over 260 sweeps, with an average acquisition time of about 2-3 minutes. This paper present an application of Principal Component Analysis (PCA) to rapidly-acquired TEOAE (averaged over only 10, 60 or 100 sweeps) for the detection of this type of cochlear response. The PCA approach is shown to be able to enhance the signal-to-noise ratio (SNR) and, in turn, to allow a correct detection of the responses. Results of the application of this approach in comparison with responses recorded, from the same ears, with classical technique will be shown. The reduction of the acquisition time to about one forth with respect to Its typical value and with approximately the same final signal-to-noise ratio will be discussed.
Keywords :
acoustic signal detection; acoustic signal processing; eigenvalues and eigenfunctions; medical signal detection; medical signal processing; otoacoustic emissions; paediatrics; principal component analysis; cochlear response; fast acquisition; inner ear; newborn hearing screening; nonstationary acoustic signals; principal component analysis; signal-to-noise ratio; transient-evoked otoacoustic emissions; Acoustic emission; Acoustic testing; Auditory system; Deafness; Ear; Pediatrics; Principal component analysis; Signal processing; Signal to noise ratio; Transient analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
ISSN :
1094-687X
Print_ISBN :
0-7803-7211-5
Type :
conf
DOI :
10.1109/IEMBS.2001.1020599
Filename :
1020599
Link To Document :
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