Identifying eye blinks in EEG signal analysis

The electroencephalogram is a noninvasive record of the brain activity using electrodes placed on the scalp. The electroencephalographic signal can be contaminated by other signal sources, called artifacts. Among the several artifact sources, eye blink is one of the main sources of interference in t...

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Bibliographic Details
Published in2008 International Conference on Information Technology and Applications in Biomedicine pp. 406 - 409
Main Authors Sovierzoski, M.A., Argoud, F.I.M., de Azevedo, F.M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2008
Subjects
Biological neural networks
Biomedical engineering
Electrodes
Electroencephalography
Electrooculography
Epilepsy
Higher order statistics
Muscles
Scalp
Signal analysis
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ISBN9781424422548
142442254X
ISSN2168-2194
DOI10.1109/ITAB.2008.4570605

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Summary:The electroencephalogram is a noninvasive record of the brain activity using electrodes placed on the scalp. The electroencephalographic signal can be contaminated by other signal sources, called artifacts. Among the several artifact sources, eye blink is one of the main sources of interference in the EEG exam, and can be erroneously interpreted as epileptiform activity. This study analyzed eye blink signals acquired by EEG electrodes. The main objective of this study was to develop a neural network classifier specialized in the identification of eye blinks in EEG signals. The statistical study of the eye blinks in EEG signals, the methodology and the results of the identification of this event are presented.
ISBN:9781424422548
142442254X
ISSN:2168-2194
DOI:10.1109/ITAB.2008.4570605