A convolutional neural network for steady state visual evoked potential classification under ambulatory environment

The robust analysis of neural signals is a challenging problem. Here, we contribute a convolutional neural network (CNN) for the robust classification of a steady-state visual evoked potentials (SSVEPs) paradigm. We measure electroencephalogram (EEG)-based SSVEPs for a brain-controlled exoskeleton u...

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Detalles Bibliográficos
Autores principales: Kwak, No-Sang, Müller, Klaus-Robert, Lee, Seong-Whan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5321422/
https://www.ncbi.nlm.nih.gov/pubmed/28225827
http://dx.doi.org/10.1371/journal.pone.0172578

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5321422/
https://www.ncbi.nlm.nih.gov/pubmed/28225827
http://dx.doi.org/10.1371/journal.pone.0172578

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