International Journal of Engineering and Management Research (IJEMR)
  • Year: 2015
  • Volume: 5
  • Issue: 2

Review of Algorithms for Detecting Hearing Disorders

  • Author:
  • Meenakshi , Amit Jain
  • Total Page Count: 3
  • Page Number: 532 to 534

Department of Computer Science and Engineering, PEC, Mouli, India

Online published on 21 November, 2017.

Abstract

In this paper, hearing disorders are classified into various categories according to the anatomy of the ear that explains various parts of ears. Hearing disorders are categorized according to part in which hearing problem comes. This paper helps in classifying hearing disorders with the help of various algorithms that are based on wavelet packets and support vector machine, artificial neural network, modified back propagation network, NNCT. Besides of many algorithms available, it's still very challenging to detect type of hearing disorder.

Keywords

Conductive Hearing Disorder, Sensorineural Hearing Disorder, Transient Evoked Otoacoustic Emissions (TEOAE), modified back propagation network, NNCT