A Dynamic Multi-Scale Network for EEG Signal Classification

Accurate and automatic classification of the speech imagery electroencephalography (EEG) signals from a Brain-Computer Interface (BCI) system is highly demanded in clinical diagnosis. The key factor in designing an automatic classification system is to extract essential features from the original in...

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Detalles Bibliográficos
Autores principales: Zhang, Guokai, Luo, Jihao, Han, Letong, Lu, Zhuyin, Hua, Rong, Chen, Jianqing, Che, Wenliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7838674/
https://www.ncbi.nlm.nih.gov/pubmed/33519352
http://dx.doi.org/10.3389/fnins.2020.578255

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7838674/
https://www.ncbi.nlm.nih.gov/pubmed/33519352
http://dx.doi.org/10.3389/fnins.2020.578255

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