Electroencephalogram-based decoding cognitive states using convolutional neural network and likelihood ratio based score fusion

Electroencephalogram (EEG)-based decoding human brain activity is challenging, owing to the low spatial resolution of EEG. However, EEG is an important technique, especially for brain–computer interface applications. In this study, a novel algorithm is proposed to decode brain activity associated wi...

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Detalles Bibliográficos
Autores principales: Zafar, Raheel, Dass, Sarat C., Malik, Aamir Saeed
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/PMC5448783/
https://www.ncbi.nlm.nih.gov/pubmed/28558002
http://dx.doi.org/10.1371/journal.pone.0178410

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5448783/
https://www.ncbi.nlm.nih.gov/pubmed/28558002
http://dx.doi.org/10.1371/journal.pone.0178410

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