KCS-FCnet: Kernel Cross-Spectral Functional Connectivity Network for EEG-Based Motor Imagery Classification

This paper uses EEG data to introduce an approach for classifying right and left-hand classes in Motor Imagery (MI) tasks. The Kernel Cross-Spectral Functional Connectivity Network (KCS-FCnet) method addresses these limitations by providing richer spatial-temporal-spectral feature maps, a simpler ar...

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Detalles Bibliográficos
Autores principales: García-Murillo, Daniel Guillermo, Álvarez-Meza, Andrés Marino, Castellanos-Dominguez, Cesar German
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10046910/
https://www.ncbi.nlm.nih.gov/pubmed/36980430
http://dx.doi.org/10.3390/diagnostics13061122

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10046910/
https://www.ncbi.nlm.nih.gov/pubmed/36980430
http://dx.doi.org/10.3390/diagnostics13061122

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