Multicenter intracranial EEG dataset for classification of graphoelements and artifactual signals

EEG signal processing is a fundamental method for neurophysiology research and clinical neurology practice. Historically the classification of EEG into physiological, pathological, or artifacts has been performed by expert visual review of the recordings. However, the size of EEG data recordings is...

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Dettagli Bibliografici
Pubblicato in:Sci Data
Autori principali: Nejedly, Petr, Kremen, Vaclav, Sladky, Vladimir, Cimbalnik, Jan, Klimes, Petr, Plesinger, Filip, Mivalt, Filip, Travnicek, Vojtech, Viscor, Ivo, Pail, Martin, Halamek, Josef, Brinkmann, Benjamin H., Brazdil, Milan, Jurak, Pavel, Worrell, Gregory
Natura: Artigo
Lingua:Inglês
Pubblicazione: Nature Publishing Group UK 2020
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Data Descriptor
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC7297990/
https://ncbi.nlm.nih.gov/pubmed/32546753
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41597-020-0532-5
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