Detection of alertness states using electroencephalogram and cortical auditory evoked potential responses

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

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

Abstract

In this paper, we focus on identifying the alertness state of subjects undergoing the cortical auditory evoked potential (CAEP) hearing test. A supervised classification approach is adopted, where subjects were advised to indicate their alertness states in specified time instances. Two sets of features are considered here to represent the recorded data. The first is based on the wavelet transform of the background EEG, while the second is obtained from the peaks of the CAEP responses. The rational behind using the second feature set is to evaluate the relationship between CAEP responses and alertness levels. Obtained results suggest that the CAEP-based features are very comparable, in terms of classification accuracy, to the well-established wavelet-based features of EEG signals (79% compared to 80%). The findings of this paper will contribute towards a better understanding of CAEP responses at the different alertness states.

Original languageEnglish
Title of host publicationNER 2013
Subtitle of host publicationProceedings of the 2013 6th International IEEE EMBS Conference on Neural Engineering
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1433-1436
Number of pages4
ISBN (Print)9781467319690
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013 - San Diego, CA, United States
Duration: 6 Nov 20138 Nov 2013

Other

Other2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013
CountryUnited States
CitySan Diego, CA
Period6/11/138/11/13

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