research-article

Assessing the effects of voluntary and involuntary eyeblinks in independent components of electroencephalogram

Authors:

Masaki Nakanishi, and

Yasue MitsukuraAuthors Info & Claims

Neurocomputing, Volume 193, Issue C

Pages 20 - 32

https://doi.org/10.1016/j.neucom.2016.01.057

Published: 12 June 2016 Publication History

Abstract

The effect of voluntary and involuntary eyeblinks in independent components (ICs) contributing to electroencephalographic (EEG) signals was assessed to create templates for eyeblink artifact rejection from EEG signals with small number of electrodes. Fourteen EEG and one vertical electrooculographic signals were recorded for twenty subjects during experiments that prompted subjects to blink voluntarily and involuntarily. Wavelet-enhanced independent component analysis with two markers was employed as a feature extraction scheme to investigate the effects of eyeblinks in ICs of EEG signals. Extracted features were separated into epochs and analyzed. This paper presents following characteristics: (i) voluntary and involuntary eyeblink features obtained from all channels present significant differences in the delta band; (ii) distorting effects have continued influence for 3.0-4.0s (in the occipital region, 2.0s); and (iii) eyeblink effects cease to exist after the zero-crossing four (in the occipital region, two) times, regardless of the type. Several characteristics are different between voluntary and involuntary eyeblinks in EEG signals. Therefore, any templates need both types of data for eyeblink artifact rejection if the EEG signals were obtained from small number of electrodes. Voluntary and involuntary eyeblink features obtained from all channels present significant differences in the delta band.Distorting effects have continued influence for 3.0-4.0s (in the occipital region, 2.0s).Eyeblink effects cease to exist after the zero-crossing four (in the occipital region, two) times, regardless of type.

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Cited By

Bablani AEdla DTripathi DCheruku R(2019)Survey on Brain-Computer InterfaceACM Computing Surveys10.1145/329771352:1(1-32)Online publication date: 13-Feb-2019
https://dl.acm.org/doi/10.1145/3297713
Mannan MKamran MKang SJeong M(2018)Effect of EOG Signal Filtering on the Removal of Ocular Artifacts and EEG-Based Brain-Computer InterfaceComplexity10.1155/2018/48537412018Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.1155/2018/4853741

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Assessing the effects of voluntary and involuntary eyeblinks in independent components of electroencephalogram

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cover image Neurocomputing

Neurocomputing Volume 193, Issue C

June 2016

280 pages

ISSN:0925-2312

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Copyright © The Authors.

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Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 12 June 2016

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Cited By

Bablani AEdla DTripathi DCheruku R(2019)Survey on Brain-Computer InterfaceACM Computing Surveys10.1145/329771352:1(1-32)Online publication date: 13-Feb-2019
https://dl.acm.org/doi/10.1145/3297713
Mannan MKamran MKang SJeong M(2018)Effect of EOG Signal Filtering on the Removal of Ocular Artifacts and EEG-Based Brain-Computer InterfaceComplexity10.1155/2018/48537412018Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.1155/2018/4853741

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