EEGformer: A transformer–based brain activity classification method using EEG signal

BACKGROUND: The effective analysis methods for steady-state visual evoked potential (SSVEP) signals are critical in supporting an early diagnosis of glaucoma. Most efforts focused on adopting existing techniques to the SSVEPs-based brain–computer interface (BCI) task rather than proposing new ones s...

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Detalles Bibliográficos
Autores principales: Wan, Zhijiang, Li, Manyu, Liu, Shichang, Huang, Jiajin, Tan, Hai, Duan, Wenfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10079879/
https://www.ncbi.nlm.nih.gov/pubmed/37034169
http://dx.doi.org/10.3389/fnins.2023.1148855

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10079879/
https://www.ncbi.nlm.nih.gov/pubmed/37034169
http://dx.doi.org/10.3389/fnins.2023.1148855

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