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

Ahmed Al-Ani; Bram Van Dun; Harvey Dillon; Alaleh Rabie

doi:10.1007/978-3-642-34475-6_12

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 proceeding › Conference proceeding contribution › peer-review

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 language	English
Title of host publication	Neural Information Processing
Subtitle of host publication	19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part I
Editors	Tingwen Huang, Zhigang Zeng, Chuandong Li, Chi Sing Leung
Place of Publication	Berlin; New York
Publisher	Springer, Springer Nature
Pages	92-99
Number of pages	8
Volume	Part 1
ISBN (Electronic)	9783642344756
ISBN (Print)	9783642344749
DOIs	https://doi.org/10.1007/978-3-642-34475-6_12
Publication status	Published - Nov 2012
Externally published	Yes
Event	International Conference on Neural Information Processing (19th : 2012) - Doha, Qatar, Qatar Duration: 12 Nov 2012 → 15 Nov 2012

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7663
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	International Conference on Neural Information Processing (19th : 2012)
Country/Territory	Qatar
City	Doha, Qatar
Period	12/11/12 → 15/11/12

Keywords

alertness state
CAEP hearing test
feature selection

Access to Document

10.1007/978-3-642-34475-6_12

Cite this

Al-Ani, A., Van Dun, B., Dillon, H., & Rabie, A. (2012). Analysis of alertness status of subjects undergoing the cortical auditory evoked potential hearing test. In T. Huang, Z. Zeng, C. Li, & C. S. Leung (Eds.), Neural Information Processing: 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part I (Vol. Part 1, pp. 92-99). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7663). Springer, Springer Nature. https://doi.org/10.1007/978-3-642-34475-6_12

Al-Ani, Ahmed ; Van Dun, Bram ; Dillon, Harvey et al. / Analysis of alertness status of subjects undergoing the cortical auditory evoked potential hearing test. Neural Information Processing: 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part I. editor / Tingwen Huang ; Zhigang Zeng ; Chuandong Li ; Chi Sing Leung. Vol. Part 1 Berlin; New York : Springer, Springer Nature, 2012. pp. 92-99 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Analysis of alertness status of subjects undergoing the cortical auditory evoked potential hearing test",

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.",

keywords = "alertness state, CAEP hearing test, feature selection",

author = "Ahmed Al-Ani and {Van Dun}, Bram and Harvey Dillon and Alaleh Rabie",

year = "2012",

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doi = "10.1007/978-3-642-34475-6_12",

language = "English",

isbn = "9783642344749",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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pages = "92--99",

editor = "Tingwen Huang and Zhigang Zeng and Chuandong Li and Leung, {Chi Sing}",

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note = "International Conference on Neural Information Processing (19th : 2012) ; Conference date: 12-11-2012 Through 15-11-2012",

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Al-Ani, A, Van Dun, B, Dillon, H & Rabie, A 2012, Analysis of alertness status of subjects undergoing the cortical auditory evoked potential hearing test. in T Huang, Z Zeng, C Li & CS Leung (eds), Neural Information Processing: 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part I. vol. Part 1, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7663, Springer, Springer Nature, Berlin; New York, pp. 92-99, International Conference on Neural Information Processing (19th : 2012), Doha, Qatar, Qatar, 12/11/12. https://doi.org/10.1007/978-3-642-34475-6_12

Analysis of alertness status of subjects undergoing the cortical auditory evoked potential hearing test. / Al-Ani, Ahmed; Van Dun, Bram; Dillon, Harvey et al.
Neural Information Processing: 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part I. ed. / Tingwen Huang; Zhigang Zeng; Chuandong Li; Chi Sing Leung. Vol. Part 1 Berlin; New York: Springer, Springer Nature, 2012. p. 92-99 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7663).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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AB - 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.

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Al-Ani A, Van Dun B, Dillon H, Rabie A. Analysis of alertness status of subjects undergoing the cortical auditory evoked potential hearing test. In Huang T, Zeng Z, Li C, Leung CS, editors, Neural Information Processing: 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part I. Vol. Part 1. Berlin; New York: Springer, Springer Nature. 2012. p. 92-99. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-34475-6_12

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

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