Deep learning for EEG-based Motor Imagery classification: Accuracy-cost trade-off

Electroencephalography (EEG) datasets are often small and high dimensional, owing to cumbersome recording processes. In these conditions, powerful machine learning techniques are essential to deal with the large amount of information and overcome the curse of dimensionality. Artificial Neural Networ...

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Detalles Bibliográficos
Autores principales: León, Javier, Escobar, Juan José, Ortiz, Andrés, Ortega, Julio, González, Jesús, Martín-Smith, Pedro, Gan, John Q., Damas, Miguel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7289369/
https://www.ncbi.nlm.nih.gov/pubmed/32525885
http://dx.doi.org/10.1371/journal.pone.0234178

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7289369/
https://www.ncbi.nlm.nih.gov/pubmed/32525885
http://dx.doi.org/10.1371/journal.pone.0234178

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