Title :
Detection of cochlear hearing loss applying wavelet packets and support vector machines
Author :
Dietl, Hubert ; Weiss, Stephan
Author_Institution :
Dept. of Electron. & Comput. Sci., Southampton Univ., UK
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.
Keywords :
acoustic signal detection; auditory evoked potentials; feature extraction; otoacoustic emissions; signal classification; support vector machines; wavelet transforms; SNR; SVM classifier; cochlear hearing loss detection; feature extraction; frequency-specific hearing loss; high frequency hearing loss; pantonal hearing loss; signal-to-noise ratio; support vector machines; transient evoked otoacoustic emissions; wavelet packet transform; Deafness; Discrete wavelet transforms; Feature extraction; Frequency; Support vector machine classification; Support vector machines; Testing; Training data; Wavelet packets; Wavelet transforms;
Conference_Titel :
Signals, Systems and Computers, 2004. Conference Record of the Thirty-Eighth Asilomar Conference on
Print_ISBN :
0-7803-8622-1
DOI :
10.1109/ACSSC.2004.1399421
