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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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7297990/
https://www.ncbi.nlm.nih.gov/pubmed/32546753
http://dx.doi.org/10.1038/s41597-020-0532-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7297990/
https://www.ncbi.nlm.nih.gov/pubmed/32546753
http://dx.doi.org/10.1038/s41597-020-0532-5

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