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Invariant and Subject-Dependent Features of Otoacoustic Emissions

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Medical Data Analysis (ISMDA 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2526))

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Abstract

Transiently-Evoked Otoacoustic Emissions (TEOAEs) from nine normoacousic subjects have been studied by Recurrence Quantification Analysis (RQA) at different stimulation intensities, and their dynamics characterized as for the content of determinism. The same linear scaling of determinism with the stimulation intensity has been found in a well defined intensity interval and in all subjects. Outside that interval and, in particular, above its upper end, subject-dependent features are clearly visible in the form of different maximal levels of determinism. These observations may open the door to a systematic study of the anatomical and physiological bases of both individual and subject-dependent features in otoacoustic emissions.

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Author information

Authors and Affiliations

  1. Dept. of Human Physiology and Pharmacology and CISB, Univ. of Rome “La Sapienza”, 00185, Rome, Italy

    Giovanna Zimatore & Alfredo Colosimo

  2. Ist. Superiore di Sanità, 00185, Rome, Italy

    Alessandro Giuliani

  3. Center of Bioacoustics, Univ. of Ferrara, Italy

    Stavros Hatzopoulos & Alessandro Martini

Authors
  1. Giovanna Zimatore
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  2. Alessandro Giuliani
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  3. Stavros Hatzopoulos
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  4. Alessandro Martini
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  5. Alfredo Colosimo
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Editor information

Editors and Affiliations

  1. Dept. of Human Physiology and Pharmacology, University of Rome La Sapienza, P. le A. Moro, 5, 00185, Rome, Italy

    Alfredo Colosimo  & Paolo Sirabella  & 

  2. TCE Laboratory, Istituto Superiore di Sanità, V. le Regina Elena, 299, 00161, Rome, Italy

    Alessandro Giuliani

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© 2002 Springer-Verlag Berlin Heidelberg

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Zimatore, G., Giuliani, A., Hatzopoulos, S., Martini, A., Colosimo, A. (2002). Invariant and Subject-Dependent Features of Otoacoustic Emissions. In: Colosimo, A., Sirabella, P., Giuliani, A. (eds) Medical Data Analysis. ISMDA 2002. Lecture Notes in Computer Science, vol 2526. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36104-9_18

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  • DOI: https://doi.org/10.1007/3-540-36104-9_18

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00044-0

  • Online ISBN: 978-3-540-36104-6

  • eBook Packages: Springer Book Archive

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