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Multiscale detection of transient evoked otoacoustic emissions

På svenska

Author

  • Vaidotas Marozas
  • Arturas Janusauskas
  • Arunas Lukosevicius
  • Leif Sörnmo

Summary, in English

This paper presents a unified approach to multiscale detection of transient evoked otoacoustic emissions (TEOAEs). Using statistical detection theory, it is shown that the optimal detector involves a time windowing operation where the window can be estimated from ensemble correlation information. The detector performs adaptive splitting of the signal into different frequency bands using either wavelet or wavelet packet decomposition. A simplified detector is proposed in. which signal energy is omitted. The results show that the simplified detector performs significantly better than existing TEOAE detectors based on wave reproducibility or the modified variance ratio, whereas the. detector involving signal energy does not offer such a performance advantage.

Publishing year

2006

Language

English

Pages

1586-1593

Publication/Series

IEEE Transactions on Biomedical Engineering

Volume

53

Issue

8

Document type

Journal article

Publisher

IEEE - Institute of Electrical and Electronics Engineers Inc.

Topic

  • Medical Engineering

Status

Published

ISBN/ISSN/Other

  • ISSN: 1558-2531