The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
ADJUST: An automatic EEG artifact detector based on the joint use of spatial and temporal features
Open accessAbstract
A successful method for removing artifacts from electroencephalogram (EEG) recordings is Independent Component Analysis (ICA), but its implementation remains largely user‐dependent. Here, we propose a completely automatic algorithm (ADJUST) that identifies artifacted independent components by combining stereotyped artifact‐specific spatial and temporal features. Features were optimized to capture blinks, eye movements, and generic discontinuities on a feature selection dataset. Validation on a totally different EEG dataset shows that (1) ADJUST's classification of independent components largely matches a manual one by experts (agreement on 95.2% of the data variance), and (2) Removal of the artifacted components detected by ADJUST leads to neat reconstruction of visual and auditory event‐related potentials from heavily artifacted data. These results demonstrate that ADJUST provides a fast, efficient, and automatic way to use ICA for artifact removal.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Delorme, A., & Makeig, S. (2004) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2003.10.009 · Cited by 24,371
Individual Comparisons by Ranking Methods
Wilcoxon, F. (1945) · Biometrics Bulletin · doi:10.2307/3001968 · Cited by 15,354
An Information-Maximization Approach to Blind Separation and Blind Deconvolution
Bell, A. J., & Sejnowski, T. J. (1995) · Neural Computation · doi:10.1162/neco.1995.7.6.1129 · Cited by 8,986
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
Long-Range Temporal Correlations and Scaling Behavior in Human Brain Oscillations
Linkenkaer-Hansen, K., Nikouline, V. V., Palva, J. M., & Ilmoniemi, R. J. (2001) · The Journal of Neuroscience · doi:10.1523/jneurosci.21-04-01370.2001 · Cited by 1,149
Electroencephalography: Basic Principles, Clinical Applications, and Related Fields, Fifth Edition
Henry, J. C. (2006) · Neurology · doi:10.1212/01.wnl.0000243257.85592.9a · Cited by 190
Research works printed but not linked: 33
- 10.1109/79.962275 · DOI · Paper page
- 10.1016/j.clinph.2003.12.015 · DOI · Paper page
- 10.1109/78.554307 · DOI · Paper page
- 10.1109/36.843009 · DOI · Paper page
- Buiatti M., 2008, The correlated nature of large‐scale neural activity unveiled by the resting brain, Rivista Di Biologia-Biology Forum, 101, 353
- 10.1016/S0987-7053(00)00055-1 · DOI · Paper page
- 10.1016/S0167-8760(01)00201-X · DOI
- 10.1016/j.neuroimage.2006.11.004 · DOI · Paper page
- Di Russo F., 2001, Cortical sources of the early components of the visual evoked potential, Human Brain Mapping, 15, 95, 10.1002/hbm.10010 · DOI · Paper page
- 10.1016/0013-4694(85)91058-2 · DOI · Paper page
- 10.1016/j.neuroimage.2008.12.038 · DOI · Paper page
- 10.1016/j.clinph.2007.03.012 · DOI
- 10.1002/0471221317 · DOI · Paper page
- 10.1111/j.1469-8986.2003.00141.x · DOI · Paper page
- Jung T.‐P., 1998, Advances in Neural Information Processing Systems, 894
- 10.1111/1469-8986.3720163 · doi:10.1111/1469-8986.3720163 · Paper page
- 10.1016/S1388-2457(00)00386-2 · DOI · Paper page
- 10.1111/j.1469-8986.1991.tb03397.x · DOI
- Lee T.‐W., 1999, Independent component analysis using an extended Infomax algorithm for mixed subGaussian and superGaussian sources, Proceedings of the 4th Joint Symposium of Neural Computation, 7, 132
- 10.1088/0967-3334/27/4/008 · DOI · Paper page
- 10.1002/hbm.10024 · DOI · Paper page
- 10.1016/j.neuroimage.2007.11.022 · DOI
- 10.1088/0967-3334/28/12/006 · doi:10.1088/0967-3334/28/12/006
- 10.1016/j.neubiorev.2006.06.007 · DOI · Paper page
- Oster P. J., 1980, Techniques in Psychophysiology, 275
- 10.1080/00029238.1967.11080683 · DOI
- 10.1523/JNEUROSCI.0948-08.2008 · DOI · Paper page
- Talsma D., 2005, Event‐related potentials: A methods handbook, 115
- 10.1073/pnas.0305375101 · DOI · Paper page
- 10.1111/j.1469-8986.1982.tb02509.x · DOI · Paper page
- 10.1109/10.841330 · DOI · Paper page
- 10.1016/j.clinph.2009.01.015 · DOI · Paper page
- 10.1016/0301-0511(83)90059-5 · DOI · Paper page
Cited by
EEG artifact removal—state-of-the-art and guidelines
Urigüen, J. A., & Garcia-Zapirain, B. (2015) · Journal of Neural Engineering · doi:10.1088/1741-2560/12/3/031001 · Cited by 963
Chaumon, M., Bishop, D. V. M., & Busch, N. A. (2015) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2015.02.025 · Cited by 833
Venkatraman, V., Dimoka, A., Pavlou, P. A., Vo, K., Hampton, W., Bollinger, B., Hershfield, H. E., Ishihara, M., & Winer, R. S. (2015) · Journal of Marketing Research · doi:10.1509/jmr.13.0593 · Cited by 549
Chennu, S., Annen, J., Wannez, S., Thibaut, A., Chatelle, C., Cassol, H., Martens, G., Schnakers, C., Gosseries, O., Menon, D., et al. (2017) · Brain · doi:10.1093/brain/awx163 · Cited by 339
Automagic: Standardized preprocessing of big EEG data
Pedroni, A., Bahreini, A., & Langer, N. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.06.046 · Cited by 292
Metadata
- Authors
- Mognon, A., Jovicich, J., Bruzzone, L., & Buiatti, M.
- Venue
- Psychophysiology
- Publisher
- Wiley
- Published
- 2011-01-06
- Volume
- 48
- Issue
- 2
- Pages
- 229-240
- ISSN
- 0048-5772 (ISSN-L)
- 1469-8986
- OpenAlex
- W2507937192
- Cited by
- 1,290
- References
- 6
- FWCI
- 9.05
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: ADJUST: An automatic EEG artifact detector based on the joint use of spatial and temporal features. https://app.cochat.ai/papers/10.1111/j.1469-8986.2010.01061.x
- The paper
- Mognon, A., Jovicich, J., Bruzzone, L., & Buiatti, M. (2011). ADJUST: An automatic EEG artifact detector based on the joint use of spatial and temporal features. Psychophysiology. https://doi.org/10.1111/j.1469-8986.2010.01061.x
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
