Auditory Evoked Potential Response and Hearing Loss: A Review

M. P Paulraj*, 1, Kamalraj Subramaniam 1, Sazali Bin Yaccob 1, Abdul H. Bin Adom 1, C. R Hema2
1 Department of Mechatronic Engineering, Universiti Malaysia Perlis, Malaysia
2 Faculty of Engineering, Karpagam University, India

Article Metrics

CrossRef Citations:
Total Statistics:

Full-Text HTML Views: 6644
Abstract HTML Views: 1826
PDF Downloads: 439
Total Views/Downloads: 8909
Unique Statistics:

Full-Text HTML Views: 2718
Abstract HTML Views: 1003
PDF Downloads: 337
Total Views/Downloads: 4058

Creative Commons License
© Paulraj et al.; Licensee Bentham Open.

open-access license: This is an open access article licensed under the terms of the Creative Commons Attribution Non-Commercial License ( which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.

* Address correspondence to this author at the The School of Mechatronic Engineering, Universiti Malaysia Perlis, Malaysia; Tel: +60164353674; Fax: +6049885167; E-mail:;


Hypoacusis is the most prevalent sensory disability in the world and consequently, it can lead to impede speech in human beings. One best approach to tackle this issue is to conduct early and effective hearing screening test using Electroencephalogram (EEG). EEG based hearing threshold level determination is most suitable for persons who lack verbal communication and behavioral response to sound stimulation. Auditory evoked potential (AEP) is a type of EEG signal emanated from the brain scalp by an acoustical stimulus. The goal of this review is to assess the current state of knowledge in estimating the hearing threshold levels based on AEP response. AEP response reflects the auditory ability level of an individual. An intelligent hearing perception level system enables to examine and determine the functional integrity of the auditory system. Systematic evaluation of EEG based hearing perception level system predicting the hearing loss in newborns, infants and multiple handicaps will be a priority of interest for future research.

Keywords: Auditory brainstem response, Auditory evoked potential, Electroencephalogram, Hearing loss, Hearing perception, neural networks.