Multi-Channel Convolutional Neural Networks Architecture Feeding for Effective EEG Mental Tasks Classification

Mental tasks classification is increasingly recognized as a major challenge in the field of EEG signal processing and analysis. State-of-the-art approaches face the issue of spatially unstable structure of highly noised EEG signals. To address this problem, this paper presents a multi-channel convol...

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Detalles Bibliográficos
Autores principales: Opałka, Sławomir, Stasiak, Bartłomiej, Szajerman, Dominik, Wojciechowski, Adam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210443/
https://www.ncbi.nlm.nih.gov/pubmed/30322205
http://dx.doi.org/10.3390/s18103451

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210443/
https://www.ncbi.nlm.nih.gov/pubmed/30322205
http://dx.doi.org/10.3390/s18103451

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