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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Bibliografiska uppgifter
I publikationen:PLoS One
Huvudupphovsmän: León, Javier, Escobar, Juan José, Ortiz, Andrés, Ortega, Julio, González, Jesús, Martín-Smith, Pedro, Gan, John Q., Damas, Miguel
Materialtyp: Artigo
Språk:Inglês
Publicerad: Public Library of Science 2020
Ämnen:
Research Article
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC7289369/
https://ncbi.nlm.nih.gov/pubmed/32525885
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0234178
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