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Detection of Eye Blinks from EEG using Hidden Markov Models
Publication Type:
Conference/Workshop Paper
Venue:
Medicinteknikdagarna
Abstract
Eye blinks are one of the major sources of
physiological noise during electroencephalography (EEG)
recordings [1]. There are two aspects in detecting eye
blinks, automatic removal of eye blink artifacts and
assessing the quality of the EEG record (in terms of its
degradation due to eye blinks) for experiments such as
brain computer interfaces (BCIs).
In this paper, hidden Markov models (HMMs) are used
to detect eye blinks from fronto-polar electrodes (Fp1 and
Fp2) of EEG recordings. One of the advantages of the
current method is there is no need to have extra
electroocculogram (EOG) channels for detection.
Bibtex
@inproceedings{Argunsah1548,
author = {Ali {\"O}zgur Argunsah and Baran {\c{C}}{\"u}r{\"u}kl{\"u} and Mujdat Cetin},
title = {Detection of Eye Blinks from EEG using Hidden Markov Models},
month = {September},
year = {2009},
booktitle = {Medicinteknikdagarna },
url = {http://www.ipr.mdu.se/publications/1548-}
}