Hearing disorder detection using auditory evoked potential (AEP) signals

Islam, Md Nahidul and Norizam, Sulaiman and Rashid, Mamunur and Bari, Bifta Sama and Mahfuzah, Mustafa (2020) Hearing disorder detection using auditory evoked potential (AEP) signals. In: IEEE International Conference on Emerging Technology in Computing, Communication and Electronics (ETCCE 2020), 21-22 December 2020 , Bangladesh. pp. 1-2. (9350918). ISBN 9780738124018

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Hearing deficit diagnoses is an important part of the audiological evaluation. The hearing disorder impairs human communication and learning. A traditional hearing test is constrained in its application and time-consuming since it requires the person to respond directly. The main objective of this study is to build an intelligent hearing level evaluation approach using Auditory Evoked Potential (AEPs) to address these concerns. For this purpose, two types of AEP signals (hearing auditory stimulus and hearing nothing) have been collected from five subjects with normal hearing abilities. Ten different statistical features have been extracted in ten different time window length (one second to ten seconds). The obtained feature sets have been classified by the K-Nearest Neighbors (K-NN) algorithm. Different types of the parameter of K-NN have been investigated also to achieve the best outcome. Experimental results show that the maximum classification accuracy of 97.80% has been achieved with the standard deviation feature and K-NN classification algorithm (Distance: Manhattan, K-neighbors: 4, Leaf size: 1, weight: uniform). The obtained performance indicates that the proposed method is very encouraging for diagnosing the AEPs responses.

Item Type: Conference or Workshop Item (Lecture)
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Auditory evoked potential (AEP): Electroencephalogram (EEG); Brain-computer interface (BCI); Machine learning: K-nearest neighbors (K-NN)
Subjects: R Medicine > RC Internal medicine
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Institute of Postgraduate Studies
Faculty of Electrical and Electronic Engineering Technology
Depositing User: Mrs Norsaini Abdul Samat
Date Deposited: 28 Apr 2021 06:03
Last Modified: 04 Feb 2022 06:54
URI: http://umpir.ump.edu.my/id/eprint/31051
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