Removal of ocular artifact from the EEG: a review.

By R. Croft, R. Barry. Neurophysiologie clinique, 2000

754 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Neurology

View Paper: https://www.semanticscholar.org/paper/c91a4f64870eae624e28176276e9894a1755af5b

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Citations in the corpus

Recipes for the linear analysis of EEG (2005, methodology): “The subtraction method proposed here is similar to the standard regression approach where a single (or a few) EOG electrodes are used as a reference signal that is subtracted in proportion to their contribution to each EEG channel (Croft and Barry, 2000).”
Brain-computer interfaces for communication and control. (2002, background): “Non-CNS artifacts Muscle activation and eye movement can contribute to the electrical activity recorded from the scalp (Anderer et al., 1999; Croft and Barry, 2000).”
Signal quality of simultaneously recorded invasive and non-invasive EEG (2009, background): “Furthermore, the findings of the present study may encourage adaptations of artifact reduction procedures that were originally developed for scalp surface EEG to reduce blink-related artifact contamination (Croft and Barry, 2000; Erfanian andMahmoudi, 2005; Ford et al., 2004) also for application to”
Brain Computer Interfaces, a Review (2012, background): “EOG artifacts mostly affect the frontal area, because they are approximately attenuated according to the square of the distance [198].”
Diagnosis of Alzheimer's disease from EEG signals: where are we standing? (2010, methodology): “Various approaches to artifact removal have been proposed: • adaptive filtering [31] [32] [33], in particular Kalman filtering [34] [35], • regression [36] [37] [38] [39], • blind source separation (BSS; see, e.g., [40] [41] [42]).”
Automatic Classification of Artifactual ICA-Components for Artifact Removal in EEG Signals (2011, positive): “Nevertheless, ocular activity can be partially removed by regression-based methods, which subtract a part of the activity measured at additional electrooculogram (EOG) channels from the EEG (see [6] for a review).”
Removal of ocular artifacts from electro-encephalogram by adaptive filtering (2004, methodology): “In all these regression-based approaches, calibration trials are first conducted to determine the transfer coefficients between the EOG channels and each of the EEG channels (CROFT and BARRY, 2000).”
A fully automated correction method of EOG artifacts in EEG recordings. (2007, methodology): “EOG artifacts are caused by retinal dipole movement and eyelid movement (Croft and Barry, 2000), caus- 1388-2457/$32.00 2006 International Federation of Clinical Neurophysiolo doi:10.1016/j.clinph.2006.09.003 * Corresponding author.”
On the influence of high-pass filtering on ICA-based artifact reduction in EEG-ERP (2015, methodology): “We compare ICA-/MARA-based artifact cleaning (with 1 Hz and 2 Hz pre-filtering) to a regression approach for the removal of eye activity measured at additional electrooculogram (EOG) channels [10].”
EMG and EOG artifacts in brain computer interface systems: A survey. (2007, methodology): “Using a linear combination of the EOG-contaminated EEG signal and the EOG signal is the most common technique for removing ocular artifacts from EEG signals (Croft and Barry ,2000).”
Current Status, Challenges, and Possible Solutions of EEG-Based Brain-Computer Interface: A Comprehensive Review (2020, background): “…(Fitzgibbon et al., 2013), regression (Gratton et al., 1983), Common Average Referencing (CAR) (Zaizu Ilyas et al., 2015), EOG correction (Croft and Barry, 2000), and blind source separation (BSS) (Oosugi et al., 2017), as well as more modern attempts, for instance, the wavelet transform…”