Detection of cochlear hearing loss applying wavelet packets and support vector machines

H. Dietl, S. Weiss

Research output: Contribution to conferencePaper

4 Citations (Scopus)
37 Downloads (Pure)

Abstract

The aim of this paper is to evaluate the application of the wavelet packet transform (WP) and support vector machines (SVM) to transient evoked otoacoustic emissions (TEOAE) in order to achieve a detection of frequency-specific hearing loss. We introduce a system to determine detection rates between groups of persons with normal hearing, high frequency hearing loss, and pantonal hearing loss. The validity and use of our approach is verified on a different patient group.
Original languageEnglish
Pages1575-1579
Number of pages6
DOIs
Publication statusPublished - Nov 2004
Event38th Asilomar Conference on Signals, Systems and Computers - Pacific Grove, California, United States
Duration: 7 Nov 200410 Nov 2004

Conference

Conference38th Asilomar Conference on Signals, Systems and Computers
CountryUnited States
CityPacific Grove, California
Period7/11/0410/11/04

Keywords

  • detection
  • cochlear hearing loss
  • applying wavelet packets
  • support vector machines
  • deafness
  • wavelet transforms
  • wavelet packets
  • training data
  • testing
  • support vector machines
  • support vector machine classification
  • frequency
  • feature extraction
  • discrete wavelet transforms

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  • Cite this

    Dietl, H., & Weiss, S. (2004). Detection of cochlear hearing loss applying wavelet packets and support vector machines. 1575-1579. Paper presented at 38th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, California, United States. https://doi.org/10.1109/ACSSC.2004.1399421