The use of artificial neural networks to predict pure tone thresholds in normal and hearing- impaired ears with distortion product otoacoustic emissions

The use of artificial neural networks to predict pure tone thresholds in normal and hearing- impaired ears with distortion product otoacoustic emissions

In the evaluation of special populations, such as neonates, infants and malingerers, audiologist often have to rely heavily on objective measurements to assess hearing ability. Current objective audiological procedures such as tympanometry, the acoustic reflex, auditory brainstem response and transi...

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Bibliographic Details
Main Author: De Waal, Rouviere
Other Authors: Kruger, J.J.
Published: University of Pretoria 2013
Subjects:
Prediction of hearing threshold
Artificial neural networks (ARN)
Age and gender
Distortion product otoacoustic emisslons
Objective hearing assessment
Otoacoustic emission (OAE)
UCTD
Online Access:http://hdl.handle.net/2263/26810
De Waal, R 1998, <i >The use of artificial neural networks to predict pure tone thresholds in normal and hearing- impaired ears with distortion product otoacoustic emissions, MCommunication Pathology dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/26810 >
http://upetd.up.ac.za/thesis/available/etd-07292009-125000/

Internet

http://hdl.handle.net/2263/26810
De Waal, R 1998, <i >The use of artificial neural networks to predict pure tone thresholds in normal and hearing- impaired ears with distortion product otoacoustic emissions, MCommunication Pathology dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/26810 >
http://upetd.up.ac.za/thesis/available/etd-07292009-125000/

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