The ICLabel dataset of electroencephalographic (EEG) independent component (IC) features.

Classification Crowdsourcing EEG ICA

Journal

Data in brief
ISSN: 2352-3409
Titre abrégé: Data Brief
Pays: Netherlands
ID NLM: 101654995

Informations de publication

Date de publication:
Aug 2019
Historique:
received: 13 05 2019
accepted: 27 05 2019
entrez: 12 7 2019
pubmed: 12 7 2019
medline: 12 7 2019
Statut: epublish

Résumé

The ICLabel dataset is comprised of training and test sets of a set of spatiotemporal features of electroencephalographic (EEG) independent components (IC). The

Identifiants

pubmed: 31294058
doi: 10.1016/j.dib.2019.104101
pii: S2352-3409(19)30455-X
pii: 104101
pmc: PMC6595408
doi:

Types de publication

Journal Article

Langues

eng

Pagination

104101

Subventions

Organisme : NINDS NIH HHS
ID : R01 NS047293
Pays : United States

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Auteurs

Luca Pion-Tonachini (L)

Swartz Center for Computational Neuroscience, University of California San Diego, 9500 Gilman Drive, La Jolla CA 92093, USA.
Department of Electrical and Computer Engineering, University of California San Diego, 9500 Gilman Drive, La Jolla CA 92093, USA.

Ken Kreutz-Delgado (K)

Department of Electrical and Computer Engineering, University of California San Diego, 9500 Gilman Drive, La Jolla CA 92093, USA.
Pattern Recognition Laboratory, University of California San Diego, 9500 Gilman Drive, La Jolla CA 92093, USA.

Scott Makeig (S)

Swartz Center for Computational Neuroscience, University of California San Diego, 9500 Gilman Drive, La Jolla CA 92093, USA.

Classifications MeSH