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

H. Dietl; S. Weiss

doi:10.1109/ACSSC.2004.1399421

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

H. Dietl
, S. Weiss

Electronic And Electrical Engineering

Research output: Contribution to conference › Paper › peer-review

11 Citations (Scopus)

62 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 language	English
Pages	1575-1579
Number of pages	6
DOIs	https://doi.org/10.1109/ACSSC.2004.1399421
Publication status	Published - Nov 2004
Event	38th Asilomar Conference on Signals, Systems and Computers - Pacific Grove, California, United States Duration: 7 Nov 2004 → 10 Nov 2004

Conference

Conference	38th Asilomar Conference on Signals, Systems and Computers
Country/Territory	United States
City	Pacific Grove, California
Period	7/11/04 → 10/11/04

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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10.1109/ACSSC.2004.1399421

Dietl04dFinal published version, 561 KB

Cite this

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title = "Detection of cochlear hearing loss applying wavelet packets and support vector machines",

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.",

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doi = "10.1109/ACSSC.2004.1399421",

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AU - Dietl, H.

AU - Weiss, S.

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AB - 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.

KW - detection

KW - cochlear hearing loss

KW - applying wavelet packets

KW - support vector machines

KW - deafness

KW - wavelet transforms

KW - wavelet packets

KW - training data

KW - testing

KW - support vector machines

KW - support vector machine classification

KW - frequency

KW - feature extraction

KW - discrete wavelet transforms

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DO - 10.1109/ACSSC.2004.1399421

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T2 - 38th Asilomar Conference on Signals, Systems and Computers

Y2 - 7 November 2004 through 10 November 2004

ER -

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

Abstract

Conference

Keywords

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