Literature DB >> 2262634

Amplitude and frequency fluctuations of spontaneous otoacoustic emissions.

P van Dijk1, H P Wit.   

Abstract

Amplitude and frequency fluctuations of spontaneous otoacoustic emissions have been studied. Spontaneous otoacoustic emissions were recorded from eight human ears and two frog ears (Rana esculenta). Record length typically was 80 s. For a recorded emission signal, the amplitude signal A(t) (average A0) and time intervals T(ti) between successive positive-going zero crossings (i counts zero crossings) were determined. Emission amplitude and period both showed small fluctuations: delta Arms/A0 ranged from 0.7 X 10(-2) to 6.3 X 10(-2) for human emissions and was 24 X 10(-2) for both frog emissions; delta Trms ranged from 1.4 to 6.9 X 10(-7) s for human emission and was 50.0 and 55.0 X 10(-7) s for the two frog emissions. There was a positive correlation between delta Arms/A0 and delta Trms as determined for different emissions (R = 0.9). Spectra of A(t) and T(ti) revealed that amplitude and period were slowly fluctuating functions: cutoff frequency delta f delta A of the amplitude spectrum ranged from 3 to 18 Hz; delta f delta T ranged from 7 to 32 Hz. Results have been compared to amplitude and frequency fluctuations of a second-order oscillator, that interacts with a noise source. It has been concluded that an oscillator with linear stiffness (for example a Van der Pol oscillator) driven by white Gaussian noise, cannot account for all experimental results. Other possible oscillators (e.g., nonlinear stiffness) and noise sources (e.g., narrow-band noise), that may account for the observed phenomena, are discussed.

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Year:  1990        PMID: 2262634     DOI: 10.1121/1.400199

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  5 in total

1.  Long-term stability of spontaneous otoacoustic emissions.

Authors:  Edward M Burns
Journal:  J Acoust Soc Am       Date:  2009-05       Impact factor: 1.840

2.  Effects of low-frequency biasing on spontaneous otoacoustic emissions: frequency modulation.

Authors:  Lin Bian
Journal:  J Acoust Soc Am       Date:  2008-11       Impact factor: 1.840

3.  An active oscillator model describes the statistics of spontaneous otoacoustic emissions.

Authors:  Florian Fruth; Frank Jülicher; Benjamin Lindner
Journal:  Biophys J       Date:  2014-08-19       Impact factor: 4.033

4.  The effect of static ear canal pressure on human spontaneous otoacoustic emissions: spectral width as a measure of the intra-cochlear oscillation amplitude.

Authors:  Pim van Dijk; Bert Maat; Emile de Kleine
Journal:  J Assoc Res Otolaryngol       Date:  2011-02

Review 5.  Whistling While it Works: Spontaneous Otoacoustic Emissions and the Cochlear Amplifier.

Authors:  Christopher A Shera
Journal:  J Assoc Res Otolaryngol       Date:  2022-01-03
  5 in total

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