A Parallel Feature Fusion Network Combining GRU and CNN for Motor Imagery EEG Decoding

In recent years, deep-learning-based motor imagery (MI) electroencephalography (EEG) decoding methods have shown great potential in the field of the brain–computer interface (BCI). The existing literature is relatively mature in decoding methods for two classes of MI tasks. However, with the increas...

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Detalles Bibliográficos
Autores principales: Gao, Siheng, Yang, Jun, Shen, Tao, Jiang, Wen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9496764/
https://www.ncbi.nlm.nih.gov/pubmed/36138969
http://dx.doi.org/10.3390/brainsci12091233

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9496764/
https://www.ncbi.nlm.nih.gov/pubmed/36138969
http://dx.doi.org/10.3390/brainsci12091233

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