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The Hilbert-Huang transform for detection of otoacoustic emissions and time-frequency mapping

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Author

Summary, in English

This paper presents an application of the Hilbert-Huang transform (HHT) and ensemble correlation for detection of the transient evoked otoacoustic emissions (TEOAEs), and high resolution time-frequency mapping. The HHT provides a powerful tool for nonlinear analysis of nonstationary signals such as TEOAEs. Since the HHT itself does not distinguish between signal and noise it was used with ensemble correlation to extract information about intervals with correlated activity. The combination of methods produced good results for both tasks TEOAE detection and time-frequency mapping. The resulting detection performance, using the mean hearing threshold as audiological separation criterion, was a specificity of 81% at a sensitivity of 90% to be compared to 65% with the traditional wave reproducibility detection criterion. High resolution time frequency mapping predicted in more than 70% of the cases hearing loss at a specific frequency in cases of ski-sloping audiograms. The present method does not require a priori information on the signal and may, with minor changes, be successfully applied to analysis of other types of repetitive signals such as evoked potentials.

Publishing year

2006

Language

English

Pages

25-38

Publication/Series

Informatica

Volume

17

Issue

1

Document type

Journal article

Publisher

Slovenian Society Informatika

Topic

  • Signal Processing
  • Electrical Engineering, Electronic Engineering, Information Engineering

Keywords

  • mapping and feature extraction.
  • time-frequency
  • otoacoustic emission detection
  • Hilbert-Huang transform

Status

Published

Research group

  • Signal Processing

ISBN/ISSN/Other

  • ISSN: 0868-4952