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Classification of EEG-based auditory evoked potentials using entropy-based features and machine learning techniques

Hearing loss is a prevalent impairment that disrupts interactions with others and individuals' learning abilities. Immediate and accurate diagnosis of hearing loss using Electroencephalogram (EEG) signals, particularly Auditory Evoked Potentials (AEP), is considered the most effective approach...

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Bibliographic Details
Main Authors: Islam, Thamina, Ahmed, Firoz, Ahmed, Nayem, Naziullah, Shekh, Islam, Md Nahidul, Ab Rashid, Mamunur F.F.
Format: Conference or Workshop Item
Language:English
English
Published: Institute of Electrical and Electronics Engineers Inc. 2023
Subjects:
T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/40384/1/Classification%20of%20EEG-based%20auditory%20evoked%20potentials.pdf
http://umpir.ump.edu.my/id/eprint/40384/2/Classification%20of%20EEG-based%20auditory%20evoked%20potentials%20using%20entropy-based%20features%20and%20machine%20learning%20techniques_ABS.pdf
http://umpir.ump.edu.my/id/eprint/40384/
https://doi.org/10.1109/ICICT4SD59951.2023.10303426
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http://umpir.ump.edu.my/id/eprint/40384/1/Classification%20of%20EEG-based%20auditory%20evoked%20potentials.pdf
http://umpir.ump.edu.my/id/eprint/40384/2/Classification%20of%20EEG-based%20auditory%20evoked%20potentials%20using%20entropy-based%20features%20and%20machine%20learning%20techniques_ABS.pdf
http://umpir.ump.edu.my/id/eprint/40384/
https://doi.org/10.1109/ICICT4SD59951.2023.10303426

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