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

Division of Psychology Communication and Human Neuroscience (L5)

Research output: Other contribution › peer-review

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
Publisher	Springer Nature
Number of pages	8
Place of Publication	Berlin; New York
ISBN (Print)	9783642344749
DOIs	https://doi.org/10.1007/978-3-642-34475-6_12
Publication status	Published - Nov 2012

Keywords

alertness state
CAEP hearing test
feature selection

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

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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.",

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KW - feature selection

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

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Keywords

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