Hybrid Genetic Algorithm for Clustering IC Topographies of EEGs

Clustering of independent component (IC) topographies of Electroencephalograms (EEG) is an effective way to find brain-generated IC processes associated with a population of interest, particularly for those cases where event-related potential features are not available. This paper proposes a novel a...

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Detalles Bibliográficos
Autores principales: Munilla, Jorge, Al-Safi, Haedar E. S., Ortiz, Andrés, Luque, Juan L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10164025/
https://www.ncbi.nlm.nih.gov/pubmed/36881274
http://dx.doi.org/10.1007/s10548-023-00947-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10164025/
https://www.ncbi.nlm.nih.gov/pubmed/36881274
http://dx.doi.org/10.1007/s10548-023-00947-y

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