Automated preprocessing of 64 channel electroenchephalograms recorded by biosemi instruments.

Kiss, Ádám; Huszár, Olívia Mária; Bodosi, Balázs; Eördegh, Gabriella; Tót, Kálmán; Nagy, Attila; Kelemen, András

Kiss, Ádám; Huszár, Olívia Mária; Bodosi, Balázs; Eördegh, Gabriella; Tót, Kálmán; Nagy, Attila; Kelemen, András.

Afiliação

Kiss Á; Department of Physiology, Faculty of Medicine, University of Szeged, Dóm Tér 10, Szeged 6720, Hungary.
Huszár OM; Department of Physiology, Faculty of Medicine, University of Szeged, Dóm Tér 10, Szeged 6720, Hungary.
Bodosi B; Department of Physiology, Faculty of Medicine, University of Szeged, Dóm Tér 10, Szeged 6720, Hungary.
Eördegh G; Faculty of Health Sciences and Social Studies, University of Szeged, Szeged, Hungary.
Tót K; Department of Physiology, Faculty of Medicine, University of Szeged, Dóm Tér 10, Szeged 6720, Hungary.
Nagy A; Department of Physiology, Faculty of Medicine, University of Szeged, Dóm Tér 10, Szeged 6720, Hungary.
Kelemen A; Department of Applied Informatics, University of Szeged, Szeged, Hungary.

MethodsX ; 11: 102378, 2023 Dec.

Article em En | MEDLINE | ID: mdl-37822676

Palavras-chave

ADC-sided rereferencing; Common-mode; EEG; MNE; Rereference

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: MethodsX Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Hungria País de publicação: Holanda

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