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

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

BackgroundThe 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 spe...

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Bibliographic Details
Main Authors:	Zhijiang Wan, Manyu Li, Shichang Liu, Jiajin Huang, Hai Tan, Wenfeng Duan
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2023-03-01
Series:	Frontiers in Neuroscience
Subjects:	brain activity classification SSVEPs EEGformer EEG characteristics deep learning
Online Access:	https://www.frontiersin.org/articles/10.3389/fnins.2023.1148855/full

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