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Pion Inc eeglab toolbox iclabel
Eeglab Toolbox Iclabel, supplied by Pion Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/eeglab+toolbox+iclabel/eeglab+plugin+iclabel+v1+4/pmc10790850-143-16-19
Average 90 stars, based on 1 article reviews
eeglab toolbox iclabel - by Bioz Stars, 2026-09
90/100 stars

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Article Title: Investigating the attentional focus to workplace-related soundscapes in a complex audio-visual-motor task using EEG
Article Snippet: Components related to eye-blinks, eye-movement, heart rate, and muscle movement were identified and removed using the EEGLAB toolbox ICLabel (Pion-Tonachini et al., ) with a threshold of 0.9.

Activity Assay:

Article Title: Artifact Subspace Reconstruction (ASR) for electroencephalography artifact removal must be optimized for each unique dataset
Article Snippet: The extended infomax algorithm was run on epoched data in EEGLAB using the following code: Ncomp = sum(eig(cov(double(EEG.data([1:EEG.nbchan],:)'))) > 1E-7); EEG = pop_runica(EEG, 'icatype', 'runica','concatcond', 'on','extended',1,'interupt','on','pca', Ncomp, 'stop', 1e-7); The ‘Ncomp’ variable is used to fix an unaddressed problem in the literature where a bug in MATLAB’s code around the ‘rank’ function can produce a phenomena called ‘ghost ICs’, which is when data rank is under-determined. .. [3] During ICA decomposition, components were determined as ‘brain related’ if they were detected as being greater than 70% brain activity using the EEGLAB toolbox ICLabel, which is a widely used automatic IC classifier (Pion-Tonachini Qeios ID: SMEI50 · https://doi.org/10.32388/SMEI50 6/33 et al., 2019); ICLabel has been used in other ASR focused papers (Chang et al., 2019) and papers using rPDC in EEG data (e.g., Lou et al., 2019; Koshiyama et al. 2020). ..



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