Parallel Spatial–Temporal Self-Attention CNN-Based Motor Imagery Classification for BCI

Motor imagery (MI) electroencephalography (EEG) classification is an important part of the brain-computer interface (BCI), allowing people with mobility problems to communicate with the outside world via assistive devices. However, EEG decoding is a challenging task because of its complexity, dynami...

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Detalles Bibliográficos
Autores principales: Liu, Xiuling, Shen, Yonglong, Liu, Jing, Yang, Jianli, Xiong, Peng, Lin, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7759669/
https://www.ncbi.nlm.nih.gov/pubmed/33362458
http://dx.doi.org/10.3389/fnins.2020.587520

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7759669/
https://www.ncbi.nlm.nih.gov/pubmed/33362458
http://dx.doi.org/10.3389/fnins.2020.587520

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