A Densely Connected Multi-Branch 3D Convolutional Neural Network for Motor Imagery EEG Decoding

Motor imagery (MI) is a classical method of brain–computer interaction (BCI), in which electroencephalogram (EEG) signal features evoked by imaginary body movements are recognized, and relevant information is extracted. Recently, various deep-learning methods are being focused on in finding an easy-...

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Detalles Bibliográficos
Autores principales: Liu, Tianjun, Yang, Deling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7915824/
https://www.ncbi.nlm.nih.gov/pubmed/33562623
http://dx.doi.org/10.3390/brainsci11020197

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7915824/
https://www.ncbi.nlm.nih.gov/pubmed/33562623
http://dx.doi.org/10.3390/brainsci11020197

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