Dealing with artifacts: The EOG contamination of the event-related brain potential
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Eye movements generate most power in low frequencies.
“as eye movements generate most power in such low frequencies [Gratton, 1998].”
From Deep learning with convolutional neural networks for EEG decoding and visualization (2017) · cites this paper as Gratton, 1998
A high-pass filter above 4 Hz should make it less probable that either the networks or FBCSP would use class-discriminative eye movement artifacts to decode the behavior classes.
“We included the 4–fend‐Hz dataset as the highpass filter should make it less probable that either the networks or FBCSP would use class‐discriminative eye movement artifacts to decode the behavior classes, as eye movements generate most power in such low frequencies [Gratton, 1998].”
From Deep learning with convolutional neural networks for EEG decoding and visualization (2017) · cites this paper as Gratton, 1998
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A new method for off-line removal of ocular artifact
Gratton, G., Coles, M. G. H., & Donchin, E. (1983) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(83)90135-9 · Cited by 5,055 · see citing works
Self-citationNunez, P. L., & Srinivasan, R. (2006) · doi:10.1093/acprof:oso/9780195050387.001.0001 · Cited by 2,531 · see citing works
Electric Fields of the Brain: The Neurophysics of EEG
Nunez, P. L., & Harth, E. M. (1982) · Physics Today · doi:10.1063/1.2915137 · Cited by 2,257 · see citing works
A Solution for Reliable and Valid Reduction of Ocular Artifacts, Applied to the P300 ERP
Semlitsch, H. V., Anderer, P., Schuster, P., & Presslich, O. (1986) · Psychophysiology · doi:10.1111/j.1469-8986.1986.tb00696.x · Cited by 2,021 · see citing works
Electric Fields of the Brain: The Neurophysics of EEG
Fermaglich, J. (1982) · JAMA · doi:10.1001/jama.1982.03320380071046 · Cited by 1,557 · see citing works
The Journal of Psychophysiology:
Falkenstein, M. (2008) · Journal of Psychophysiology · doi:10.1027/0269-8803.22.1.1 · Cited by 1,026 · see citing works
A multiple source approach to the correction of eye artifacts
Berg, P., & Scherg, M. (1994) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(94)90094-9 · Cited by 696 · see citing works
Progress in clinical neurophysiology
Stein, J. F. (1980) · Neuropsychologia · doi:10.1016/0028-3932(80)90116-5 · Cited by 532 · see citing works
Techniques in Psychophysiology
Cacioppo, J. T., Martin, I., & Venables, P. H. (1981) · The American Journal of Psychology · doi:10.2307/1422756 · Cited by 489 · see citing works
The removal of the eye-movement artifact from the EEG by regression analysis in the frequency domain
Woestenburg, J. C., Verbaten, M. N., & Slangen, J. L. (1983) · Biological Psychology · doi:10.1016/0301-0511(83)90059-5 · Cited by 351 · see citing works
Generalized Implementation of an Eye Movement Correction Procedure
Miller, G. A., Gration, G., & Yee, C. M. (1988) · Psychophysiology · doi:10.1111/j.1469-8986.1988.tb00999.x · Cited by 232 · see citing works
Lins, O. G., Picton, T. W., Berg, P., & Scherg, M. (1993) · Brain Topography · doi:10.1007/bf01234128 · Cited by 225 · see citing works
Eye movement artifact in the CNV
Hillyard, S. A., & Galambos, R. (1970) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(70)90185-9 · Cited by 210 · see citing works
Removal of ocular artifacts from the EEG — A biophysical approach to the EOG
Elbert, T. R., Lutzenberger, W., Rockstroh, B. S., & Birbaumer, N. (1985) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(85)91020-x · Cited by 205 · see citing works
Dipole models of eye movements and blinks
Berg, P., & Scherg, M. (1991) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(91)90154-v · Cited by 200 · see citing works
Verleger, R., Gasser, T., & Möcks, J. (1982) · Psychophysiology · doi:10.1111/j.1469-8986.1982.tb02509.x · Cited by 193 · see citing works
McCallum, W. C., & Walter, W. G. (1968) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(68)90172-7 · Cited by 188 · see citing works
The transfer of EOG activity into the EEG for eyes open and closed
Gasser, T., Sroka, L., & Möcks, J. (1985) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(85)91058-2 · Cited by 178 · see citing works
Kenemans, J. L., Molenaar, P. C. M., Verbaten, M. N., & Slangen, J. L. (1991) · Psychophysiology · doi:10.1111/j.1469-8986.1991.tb03397.x · Cited by 148 · see citing works
A spectral method for removing eye movement artifacts from the EEG
Whitton, J. L., Lue, F. A., & Moldofsky, H. (1978) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(78)90208-0 · Cited by 110 · see citing works
Differential Contributions of Blinks and Vertical Eye Movements as Artifacts in EEG Recording
Corby, J. C., & Kopell, B. S. (1972) · Psychophysiology · doi:10.1111/j.1469-8986.1972.tb00776.x · Cited by 106 · see citing works
Iacono, W. G., & Lykken, D. T. (1981) · Psychophysiology · doi:10.1111/j.1469-8986.1981.tb01542.x · Cited by 100 · see citing works
The instruction to refrain from blinking affects auditory P3 and N1 amplitudes
Verleger, R. (1991) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(91)90039-7 · Cited by 99 · see citing works
A simple on-line technique for removing eye movement artifacts from the EEG
Girton, D. G., & Kamiya, J. (1973) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(73)90052-7 · Cited by 97 · see citing works
INFLUENCE OF EYE LID MOVEMENT UPON ELECTRO-OCULOGRAPHIC RECORDING OF VERTICAL EYE MOVEMENTS.
BARRY, W., & Jones, G. M. (1965) · PubMed · Cited by 87 · see citing works
Correcting ocular artifacts in the EEG: A comparison of several methods
BRUNIA, C. H. M., Möcks, J., & van den Berg-Lenssen, M. M. C. (1989) · Research portal (Tilburg University) · Cited by 86 · see citing works
The Correction of EOG Artifacts by Frequency Dependent and Frequency Independent Methods
Gasser, T., Sroka, L., & Möcks, J. (1986) · Psychophysiology · doi:10.1111/j.1469-8986.1986.tb00697.x · Cited by 84 · see citing works
The assessment of two methods for removing eye movement artefact from the EEG
Jervis, B. W., Nichols, M. J., Allen, E. M., Hudson, N. R., & Johnson, T. E. (1985) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(85)91037-5 · Cited by 79 · see citing works
The deleterious effect of ocular artefacts on the quantitative EEG, and a remedy
Gasser, T., Ziegler, P. N., & Gattaz, W. F. (1992) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/bf02191960 · Cited by 77 · see citing works
The Residual After Correcting Event‐Related Potentials for Blink Artifacts
Berg, P. (1986) · Psychophysiology · doi:10.1111/j.1469-8986.1986.tb00646.x · Cited by 74 · see citing works
Electrical phenomena associated with movements of the eyelid
Matsuo, F., Peters, J. F., & Reilly, E. L. (1975) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(75)90191-1 · Cited by 71 · see citing works
Distribution of eye movement and eyeblink potentials over the scalp.
Overton, D. A., & Shagass, C. (1969) · PubMed · Cited by 63 · see citing works
Removal of eye movement and ECG artifacts from the non-cephalic reference EEG
Fortgens, C., & Bruin, M. P. D. (1983) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(83)90010-x · Cited by 59 · see citing works
van den Berg-Lenssen, M. M. C., BRUNIA, C. H. M., & Blom, J. A. (1989) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(89)90021-7 · Cited by 44 · see citing works
Eye movement artifact nulling in EEGs by multichannel on-line EOG subtraction
Barlow, J. S., & Rémond, A. (1981) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(81)90024-9 · Cited by 36 · see citing works
Publication criteria for studies of evoked potentials (EP) in man
Donchin, E., Callaway, E. C., Cooper, R., Desmedt, J. E., Goff, W. R., Hillyard, S. A., & Sutton, S. (1977) · Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles) · Cited by 26 · see citing works
INTERACTION OF ELECTRO‐OCULAR POTENTIALS WITH THE CONTINGENT NEGATIVE VARIATION
Wasman, M., Morehead, S. D., Lee, H., & Rowland, V. C. (1970) · Psychophysiology · doi:10.1111/j.1469-8986.1970.tb02280.x · Cited by 24 · see citing works
Comparison of two methods for correcting ocular artefacts in EEGs
van den Berg-Lenssen, M. M. C., Gisbergen, J. A. M. V., & Jervis, B. W. (1994) · Medical & Biological Engineering & Computing · doi:10.1007/bf02515308 · Cited by 22 · see citing works
O'Toole, D. M., & Iacono, W. G. (1987) · Psychophysiology · doi:10.1111/j.1469-8986.1987.tb00325.x · Cited by 22 · see citing works
ANC Schemes for the Enhancement of EEG Signals in the Presence of EOG Artifacts
Puthusserypady, S. K., & Dutt, D. N. (1996) · Computers and Biomedical Research · doi:10.1006/cbmr.1996.0003 · Cited by 20 · see citing works
A new microcomputer-based online ocular artefact removal (OAR) system
Ifeachor, E., Jervis, B. W., Morris, E. L., Allen, E. M., & Hudson, N. R. (1986) · IEE Proceedings A Physical Science Measurement and Instrumentation Management and Education Reviews · doi:10.1049/ip-a-1.1986.0040 · Cited by 17 · see citing works
Minimization of EOG artefacts from corrupted eeg signals using a neural network approach
Puthusserypady, S. K., & Dutt, D. N. (1994) · Computers in Biology and Medicine · doi:10.1016/0010-4825(94)90042-6 · Cited by 8 · see citing works
Flagged first, then by citations
Research works printed but not linked: 7
- BERG, P. (1989). Comments on EOG correction methods. Journal of Psychophysiology, 3, 41-44.
- GRATTON, G., & COLES, M. G. H. (1989). Generalization and evaluation of eye-movement correction procedures. Journal of Psychophysiol- ogy,3,14-16.
- JERVIS, B. w., IFEACHOR, E. C., & COELHO, M. (1989). The removal of ocular artifacts from the EEG. Journal ofPsychophysiology, 3, 16-20.
- MOCKS, J., GASSER, T, & SROKA, L. (1989). Approaches to correcting EOG artifacts. Journal ofPsychophysiology, 3, 21-26.
- QUILTER, P. M., MCGILLIVRAY, B. B., & WADBROOK, D. G. (1977). The removal of eye movement artefact from the EEG signals using cor- relation techniques. Random Signal Analysis, IEEE Conference Pub- lication, 159, 93-100.
- VAN DEN BERG-LENSSEN, M. M. C., & BRUNIA, C. H. M. (1989). Cor- rection of ocular artifacts in EEG using an autoregressive model to describe the EEG. Journal ofPsychophysiology, 3, 26-29.
- VAN DRIEL, G., WOESTENBURG, J. C, & VAN BLOKLAND-VOGELESANG, A. W. (1989). Frequency-domain methods: A solution for the prob- lems of EOG-EEG contamination in ERPs. Journal ofPsychophysi- ology, 3, 29-34.
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Mathewson, K. E., Kuziek, J. W. P., Scanlon, J. E. M., & Robles, D. (2024) · Psychophysiology · doi:10.1111/psyp.14603 · Cited by 25 · see citing works
A fully automatic ocular artifact removal from EEG based on fourth-order tensor method
Ge, S., Han, M., & Hong, X. (2014) · Biomedical Engineering Letters · doi:10.1007/s13534-014-0118-2 · Cited by 23 · see citing works
Kaar, S. J., Nottage, J. F., Angelescu, I., Marques, T. R., & Howes, O. D. (2023) · Clinical EEG and Neuroscience · doi:10.1177/15500594221148643 · Cited by 22 · see citing works
The effect of movie-watching on electroencephalographic responses to tactile stimulation
Espenhahn, S., Yan, T., Beltrano, W., Kaur, S., Godfrey, K., Cortese, F., Bray, S., & Harris, A. D. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117130 · Cited by 22 · see citing works
Removal of Ocular Artifacts from EEG—A Survey
Kandaswamy, A., Krishnaveni, V., Jayaraman, S., Malmurugan, N., & Ramadoss, K. (2005) · IETE Journal of Research · doi:10.1080/03772063.2005.11416387 · Cited by 22 · see citing works
Stevens, E. S., Weinberg, A., Nelson, B. D., Meissel, E. E. E., & Shankman, S. A. (2017) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2017.12.001 · Cited by 21 · see citing works
An automated detection and correction method of EOG artifacts in EEG-based BCI
Wu, J., Zhang, J., & Yao, L. (2009) · ICME International Conference on Complex Medical Engineering (CME) · doi:10.1109/iccme.2009.4906624 · Cited by 21 · see citing works
Tian, T., Feng, X., Gu, R., Broster, L. S., Feng, C., Wang, L., Guan, Q., & Luo, Y. (2015) · Brain Research · doi:10.1016/j.brainres.2015.04.040 · Cited by 20 · see citing works
Ear-EEG sensitivity modeling for neural sources and ocular artifacts
Yarici, M. C., Thornton, M. P., & Mandic, D. P. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.997377 · Cited by 18 · see citing works
Enhancing Healthcare with EOG: A Novel Approach to Sleep Stage Classification
Maiti, S., Sharma, S. K., & Bapi, R. S. (2024) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp48485.2024.10446703 · Cited by 18 · see citing works
Imagery‐induced negative affect, social touch and frontal EEG power band activity
Kraus, J., Román, R., Lacinová, L., Lamoš, M., Brázdil, M., & Fredrikson, M. (2020) · Scandinavian Journal of Psychology · doi:10.1111/sjop.12661 · Cited by 18 · see citing works
Adaptive filtering of electroencephalogram signals using the empirical-modes method
Grubov, V., Евгеньевна, Р. А., Koronovskii, A. A., & Hramov, A. E. (2017) · Technical Physics Letters · doi:10.1134/s1063785017070070 · Cited by 17 · see citing works
Neo, P. S. ‐., Tinker, J., & McNaughton, N. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00342 · Cited by 17 · see citing works
Rashida, M., & Habib, M. A. (2022) · Neuroscience Informatics · doi:10.1016/j.neuri.2022.100115 · Cited by 16 · see citing works
Efficient Brain Decoding Based on Adaptive EEG Channel Selection and Transformation
Wang, J., Shi, L., Wang, W., & Hou, Z. (2022) · IEEE Transactions on Emerging Topics in Computational Intelligence · doi:10.1109/tetci.2022.3147225 · Cited by 15 · see citing works
EEG based driver cognitive distraction assessment
Almahasneh, H. S., Kamel, N., Malik, A. S., Wlater, N., & Chooi, W.-T. (2014) · International Conference on Intelligent and Advanced Systems · doi:10.1109/icias.2014.6869460 · Cited by 15 · see citing works
Probing for Intentions: Why Clocks Do Not Provide the Only Measurement of Time
Verbaarschot, C., Haselager, P., & Farquhar, J. D. R. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00068 · Cited by 13 · see citing works
A new algorithm for blink correction adaptive to inter- and intra-subject variability
Guttmann-Flury, E., Sheng, X., Zhang, D., & Zhu, X. (2019) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2019.103442 · Cited by 12 · see citing works
Correa, K. A., Li, L. Y., Nelson, B. D., & Shankman, S. A. (2022) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2022.01.016 · Cited by 12 · see citing works
The removal of ocular artifact from the EEG
Croft, R. J. (1999) · Research Online (University of Wollongong) · Cited by 12 · see citing works
Yang, X., Wang, Q., Qiao, Z., Qiu, X., Han, D. H., Zhu, X., Zhang, C., & Yang, Y. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2019.00899 · Cited by 11 · see citing works
Goldstein, R. E. R., Gerdes, M. E., Fix, S. T., Vivino, A. A., Rainey, K. M., & Bernat, E. M. (2023) · Journal of Environmental Management · doi:10.1016/j.jenvman.2023.119560 · Cited by 11 · see citing works
EEG-based brain functional connectivity during distracted driving
Almahasneh, H. S., Kamel, N., Walter, N., & Malik, A. S. (2015) · IEEE International Conference on Signal and Image Processing Applications (ICSIPA) · doi:10.1109/icsipa.2015.7412203 · Cited by 10 · see citing works
Brain-computer interface: a thought translation device turning fantasy into reality
Tyagi, A., & Nehra, V. (2013) · International Journal of Biomedical Engineering and Technology · doi:10.1504/ijbet.2013.055044 · Cited by 9 · see citing works
Free Wally: Where motor intentions meet reason and consequence
Verbaarschot, C., Farquhar, J. D. R., & Haselager, P. (2019) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2019.107156 · Cited by 9 · see citing works
A review for filtering techniques of the Electrooculography (EOG) signals
Abdullah, A. M., Ibrahim, A. R., Al-Hamadani, A. A., Al-Obaidi, M. K., & Ahmed, A. F. (2023) · Global Journal of Engineering and Technology Advances · doi:10.30574/gjeta.2023.16.3.0177 · Cited by 8 · see citing works
Coelho, C. R., Vaca, G. F., & Lüders, H. O. (2018) · Clinical Neurophysiology · doi:10.1016/j.clinph.2018.09.011 · Cited by 8 · see citing works
Dijkstra, K., Farquhar, J. D. R., & Desain, P. (2019) · Scientific Reports · doi:10.1038/s41598-019-51011-4 · Cited by 8 · see citing works
Classification of Multichannel EEG Data Using Length/Energy Transforms
Gutiérrez, D., Nocetti, F. G., & Solano, J. (2006) · IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing · doi:10.1109/camap.2005.1574224 · Cited by 7 · see citing works
Sörnmo, L., & Laguna, P. (2005) · Elsevier eBooks · doi:10.1016/b978-012437552-9/50004-0 · Cited by 7 · see citing works
Grubov, V., Евгеньевна, Р. А., & Hramov, A. E. (2018) · Technical Physics · doi:10.1134/s1063784218050110 · Cited by 7 · see citing works
Swaab, T. Y. (1998) · Behavior Research Methods, Instruments, & Computers · doi:10.3758/bf03209425 · Cited by 7 · see citing works
Removal of artifacts and fluctuations from MEG data by clustering methods
Kumagai, T., & Utsugi, A. (2004) · Neurocomputing · doi:10.1016/j.neucom.2002.08.002 · Cited by 7 · see citing works
Review of State of Art in Electrooculogram Artifact Removal from Electroencephalogram Signals
Sood, M., Kumar, V., & Bhooshan, S. V. (2013) · Cited by 6 · see citing works
Methodological issues in event-related brain potential research
Eimer, M. (1998) · Behavior Research Methods, Instruments, & Computers · doi:10.3758/bf03209411 · Cited by 6 · see citing works
FBLPF-ABOW: An Effective Method for Blink Artifact Removal in Single-Channel EEG Signal
Gao, W., Liu, D., Wang, Q., Zhao, Y.-P., & Sun, J. (2023) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2023.3314197 · Cited by 5 · see citing works
Dealing with noise and physiological artifacts in human EEG recordings: empirical mode methods
Евгеньевна, Р. А., Grubov, V., Khramova, M. V., & Hramov, A. E. (2017) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2267695 · Cited by 5 · see citing works
Krysko, V. A., Папкова, И. В., Saltykova, O. A., Yakovleva, T. V., Pavlov, S. P., Жигалов, М. В., Petrov, D., & Крысько, А. В. (2019) · Journal of Physics Conference Series · doi:10.1088/1742-6596/1260/7/072010 · Cited by 5 · see citing works
Offset masking in a divided visual field study
Young, K. M., Atchley, R. A., & Atchley, P. (2009) · Laterality Asymmetries of Body Brain and Cognition · doi:10.1080/13576500802598108 · Cited by 5 · see citing works
Li, W., Li, M., & Li, W. (2016) · International Journal of Software Science and Computational Intelligence · doi:10.4018/ijssci.2016070101 · Cited by 4 · see citing works
Artifact removal from EEG data with empirical mode decomposition
Grubov, V., Евгеньевна, Р. А., Efremova, T., & Hramov, A. E. (2017) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2251371 · Cited by 4 · see citing works
Clustering based Approach for Automated EEG Artifacts Handling
Barua, S., Shahina, B., & Uddin, A. M. (2015) · Frontiers in artificial intelligence and applications · doi:10.3233/978-1-61499-589-0-7 · Cited by 4 · see citing works
Engdahl, L., Bjerre, V. K., & Christoffersen, G. R. J. (2007) · Psychophysiology · doi:10.1111/j.1469-8986.2007.00559.x · Cited by 4 · see citing works
- Authors
- Gratton, G.
- Affiliations
- University of Missouri (US)
- Corresponding author
- Gratton, Gabriele
- ORCID
- Gratton, Gabriele
- Venue
- Behavior Research Methods, Instruments, & Computers
- Published
- 1998-03
- Volume
- 30
- Issue
- 1
- Pages
- 44-53
- ISSN
- 0743-3808 (ISSN-L)
- 1532-5970
- OpenAlex
- W2038016568
- Cited by
- 142
- References
- 41
- Citations by year
- 2026: 6 · 2025: 3 · 2024: 4 · 2023: 11 · 2022: 8 · 2021: 1 · 2020: 8 · 2019: 8 · 2018: 4 · 2017: 11 · 2016: 7 · 2015: 11 · 2014: 7 · 2013: 6 · 2012: 4
- FWCI
- 1.23
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Behavior Research Methods, Instruments, & Computers (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Physical Sciences › Computer Science › Human-Computer Interaction › Gaze Tracking and Assistive Technology
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › ECG Monitoring and Analysis
- Keywords
- ocular artifacts, electrooculogram, eye movements, blinking, event-related potentials, EEG, artifact rejection, EEG artifact removal
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