Analysis of alertness status of subjects undergoing the cortical auditory evoked potential hearing test

Ahmed Al-Ani*, Bram Van Dun, Harvey Dillon, Alaleh Rabie

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

4 Citations (Scopus)

Abstract

In this paper, we analyze the EEG rhythms of subjects undergoing the cortical auditory evoked potential (CAEP) hearing test. Investigation of the importance of the different EEG rhythms in terms of their capability in differentiating between the different alertness states when considering 64 channel EEG montage is conducted. This is followed by considering subsets that contain 2, 3, 4 as well as all 5 EEG rhythms. Finally, a feature subset selection method based on differential evolution (DE) that has particularly been proposed to deal with multi-channel signals is used to search for the best subset of EEG rhythms for the various channels.

Original languageEnglish
Title of host publicationNeural Information Processing
Subtitle of host publication19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part I
EditorsTingwen Huang, Zhigang Zeng, Chuandong Li, Chi Sing Leung
Place of PublicationBerlin; New York
PublisherSpringer, Springer Nature
Pages92-99
Number of pages8
VolumePart 1
ISBN (Electronic)9783642344756
ISBN (Print)9783642344749
DOIs
Publication statusPublished - Nov 2012
Externally publishedYes
EventInternational Conference on Neural Information Processing (19th : 2012) - Doha, Qatar, Qatar
Duration: 12 Nov 201215 Nov 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7663
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Conference on Neural Information Processing (19th : 2012)
CountryQatar
CityDoha, Qatar
Period12/11/1215/11/12

Keywords

  • alertness state
  • CAEP hearing test
  • feature selection

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