Artifact Correction of the Ongoing EEG Using Spatial Filters Based on Artifact and Brain Signal Topographies
By N. Ille, P. Berg, M. Scherg. Journal of clinical neurophysiology, 2002
788 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Signal Processing
View Paper: https://www.semanticscholar.org/paper/8ce3f1e8064d4dcc05929f416f7e4dd85a962b3d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Reinhold Scherer
- Gert Pfurtscheller
- Wolfgang Klimesch
- Simon Hanslmayr
- Christoph S. Herrmann
- Alois Schlögl
- Karl-Heinz Bäuml
- Claudia Keinrath
In Signal Processing
- Begonya García-Zapirain Soto
- Miguel Valencia
- C. Viteri
- Reinhold Scherer
- Jorge Iriarte
- Alois Schlögl
- Léon J. M. Rothkrantz
- M. Alegre
Citations in the corpus
- EEG artifact removal—state-of-the-art and guidelines (2015, methodology): “As we explain later on in the text, blind source separation algorithms such as independent component analysis (ICA) and principal component analysis (PCA) jointly exploit the information provided by all electrodes, X, simultaneously, whereas other denoising methods such as regression, filtering, emp”
- A fully automated correction method of EOG artifacts in EEG recordings. (2007, methodology): “Moreover, there are several methods for EOG reduction: the spatial filter (Lagerlund et al., 1997; Ille et al., 2000), blind source separation (BSS) (e.g. Joyce et al., 2004; Barbati et al., 2003) and the regression methods (e.g. Moretti et al., 2003; Wallstrom et al., 2004) for EOG subtraction.”
- Independent Component Analysis as a Tool to Eliminate Artifacts in EEG: A Quantitative Study (2003, background): “ilar amplitudes than that of the brain signal (Ille et al., 2002; Jung et al., 2001).”
- Emotion recognition using brain activity (2008, methodology): “Artifact subtraction Another method involves the subtraction of electrooculographic (eog) signals from the eeg data [31, 32].”
- Prestimulus oscillations predict visual perception performance between and within subjects (2007, methodology): “Prior to data analysis, EEG-data were corrected for EOG artefacts using calibration data to generate individual artefact coefficients and the PCA method (Ille et al., 2002).”
- Sexual dimorphism in cortical theta rhythms relates to elevated internalizing symptoms during adolescence (2024, unknown): “Cardiac artifacts were identified in the raw MEG data and removed using an adaptive signal-space projection (SSP) approach, which was subsequently accounted for during source reconstruction (Ille et al., 2002; Uusitalo & Ilmoniemi, 1997).”
- Developmental changes in endogenous testosterone have sexually‐dimorphic effects on spontaneous cortical dynamics (2023, methodology): “Cardiac and ocular artifacts were removed from the raw MEG data using an adaptive signal-space projection approach, which was subsequently accounted for during source reconstruction (Ille et al., 2002; Uusitalo & Ilmoniemi, 1997).”
- Does rehearsal matter? Left anterior temporal alpha and theta band changes correlate with the beneficial effects of rehearsal on working memory. (2021, unknown): “Eye blinks were corrected with a pattern-matching algorithm using principle component analysis (Ille et al., 2002; Picton et al., 2000).”