A fully automated correction method of EOG artifacts in EEG recordings.
By Alois Schlögl, Claudia Keinrath, D. Zimmermann, Reinhold Scherer, Gert Pfurtscheller. Clinical Neurophysiology, 2007
609 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/c760f0e56dab0b95cb67a9cee804b2c69c34605e
How researchers see this paper
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In Cognitive Neuroscience
- Benjamin Blankertz
- K. Müller
- Fabien Lotte
- Gert Pfurtscheller
- Cuntai Guan
- Clemens Brunner
- Robert Leeb
- Carmen Vidaurre
Citations in the corpus
- Deep learning for healthcare applications based on physiological signals: A review (2018, background): “Furthermore, the signal is affected by EOG and EMG artifacts [73, 74, 75].”
- Review of the BCI Competition IV (2012, methodology): “The EOG channels are provided for the subsequent application of artifact processing methods (Fatourechi et al., 2007) and must not be used for classification.”
- BCI Competition 2008 { Graz data set B (2008, methodology): “Since three EOG channels are provided, it is required to remove EOG artifacts before the subsequent data processing using artifact removal techniques such as highpass filtering or linear regression [4].”
- EEG artifact removal—state-of-the-art and guidelines (2015, background): “Regression and filtering approaches need a reference channel if they are meant to operate automatically [19, 137].”
- 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]).”
- Removal of Artifacts from EEG Signals: A Review (2019, background): “More specifically, eye movement artifacts produce by changes in orientation of the retina and cornea dipole, and blink artifacts caused by ocular conductance due to the alterations of contact of the cornea with eyelid [26].”
- Brain–Computer Communication: Motivation, Aim, and Impact of Exploring a Virtual Apartment (2007, methodology): “eye movements on the EEG [16], therefore the block (iii) was used to set-up the correction coefficients.”
- Evaluation of Artifact Subspace Reconstruction for Automatic EEG Artifact Removal (2018, neutral): “[6].”