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...
| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2023
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| Subjects: | |
| 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 |
Internet
http://umpir.ump.edu.my/id/eprint/40384/1/Classification%20of%20EEG-based%20auditory%20evoked%20potentials.pdfhttp://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