PMID: 9557981Apr 29, 1998Paper

A new method for the automated detection of spontaneous otoacoustic emissions embedded in noisy data

Hearing Research
T Zhang, M J Penner

Abstract

There is, as yet, no universally agreed upon method for the detection of spontaneous otoacoustic emissions (SOAEs). In this paper, we augment extant techniques by presenting a new automated approach. The new procedure reliably labels the spectral peaks as SOAEs, rejects noisy data such as that due to body movements or breathing, provides a subject-specific measure of the probability that a particular peak is erroneously identified as a SOAE, and can be accomplished on-line. Comparison of results with this new approach and with methods undertaken previously in this laboratory and elsewhere are made. The estimated prevalence of SOAEs for the new method is as large as that for any method previously proposed.

References

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Citations

Jun 12, 2010·Journal of Neurophysiology·A J HudspethPascal Martin
Jul 31, 2009·The Journal of the Acoustical Society of America·Emery M KuBen Lineton
Feb 12, 2009·The Journal of the Acoustical Society of America·W Wiktor JedrzejczakHenryk Skarzynski
Dec 17, 2009·The Journal of the Acoustical Society of America·W Wiktor JedrzejczakHenryk Skarzynski
Sep 29, 2000·The Journal of the Acoustical Society of America·E G Pasanen, D McFadden
Apr 6, 2007·ORL; Journal for Oto-rhino-laryngology and Its Related Specialties·Yildirim A BayazitMehmet Ali Gurer
Oct 24, 2013·Annals of Behavioral Medicine : a Publication of the Society of Behavioral Medicine·Akinori NakataMasaya Takahashi
Apr 5, 2017·The Journal of the Acoustical Society of America·Carolina AbdalaChristopher A Shera

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