Automatic bad channel detection in intracranial electroencephalographic recordings using ensemble machine learning

OBJECTIVE: Intracranial electroencephalographic (iEEG) recordings contain “bad channels”, which show non-neuronal signals. Here, we developed a new method that automatically detects iEEG bad channels using machine learning of seven signal features. METHODS: The features quantified signals’ variance,...

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Detalles Bibliográficos
Autores principales: Tuyisenge, Viateur, Trebaul, Lena, Bhattacharjee, Manik, Chanteloup-Forêt, Blandine, Saubat-Guigui, Carole, Mîndruţă, Ioana, Rheims, Sylvain, Maillard, Louis, Kahane, Philippe, Taussig, Delphine, David, Olivier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5819872/
https://www.ncbi.nlm.nih.gov/pubmed/29353183
http://dx.doi.org/10.1016/j.clinph.2017.12.013

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5819872/
https://www.ncbi.nlm.nih.gov/pubmed/29353183
http://dx.doi.org/10.1016/j.clinph.2017.12.013

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