DocumentCode
1159292
Title
Principal component analysis as a method to facilitate fast detection of transient-evoked otoacoustic emissions
Author
Ravazzani, Paolo ; Tognola, Gabriella ; Parazzini, Marta ; Grandori, Ferdinando
Author_Institution
Inst. di Ingegneria Biomedica CNR, Milan, Italy
Volume
50
Issue
2
fYear
2003
Firstpage
249
Lastpage
252
Abstract
Transient-evoked otoacoustic emissions (TEOAE) are acoustic signals coming from the inner ear (outer hair cells of the cochlea) after acoustic stimulation by clicks. They can be used to investigate the status of the peripheral hearing system. Some of their potential applications (e.g., their use as a tool in newborn hearing screening programs) are deeply related to the duration of each recording session. This duration can be strongly reduced by applying a principal component analysis approach to a set of TEOAE recorded from the same ear at different stimulus levels averaging only a few sweeps (a maximum of 100 versus the classical 260). The PCA approach is shown to be able to enhance the signal-to-noise ratio 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 subjects with the classical technique are shown.
Keywords
medical signal detection; otoacoustic emissions; paediatrics; principal component analysis; acoustic stimulation by clicks; cochlea; inner ear acoustic signals; medical technique; newborn hearing screening programs; outer hair cells; peripheral hearing system status investigation; recording session duration; responses correct detection; signal-to-noise ratio enhancement; stimulus levels; transient-evoked otoacoustic emissions; Acoustic emission; Acoustic signal detection; Auditory system; Ear; Hair; Irrigation; Pediatrics; Principal component analysis; Signal to noise ratio; Testing; Acoustic Stimulation; Adult; Algorithms; Audiometry, Evoked Response; Auditory Threshold; Hearing Tests; Humans; Infant, Newborn; Neonatal Screening; Otoacoustic Emissions, Spontaneous; Principal Component Analysis; Reproducibility of Results; Sensitivity and Specificity;
fLanguage
English
Journal_Title
Biomedical Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0018-9294
Type
jour
DOI
10.1109/TBME.2002.807645
Filename
1185149
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