Predicting hearing loss from otoacoustic emissions using an artificial neural network

Predicting hearing loss from otoacoustic emissions using an artificial neural network

Normal and impaired pure tone thresholds (PTTs) were predicted from distortion product otoacoustic emissions (DP using a feed-forward artificial neural network (ANN) with a back-propagation training algorithm. The ANN used a present and absent DPOAEs from eight DP grams, (2fl -f2 = 406 - 4031 Hz) to...

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Bibliographic Details
Main Authors: Rouviere de Waal, René Hugo, Maggi Soer, Johann J. Krüger
Format: Article
Language:English
Published: AOSIS 2002-12-01
Series:South African Journal of Communication Disorders
Subjects:
otoacoustic emissions
distortion product otoacoustic emissions
artificial neural networks
hearing threshold prediction
objective hearing assessment
Online Access:https://sajcd.org.za/index.php/sajcd/article/view/215

Internet

https://sajcd.org.za/index.php/sajcd/article/view/215

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