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

Frontiers in neuroscience(2023)

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摘要
EEGformer generalizes well to different EEG datasets, demonstrating our approach can be potentially suitable for providing accurate brain activity classification and being used in different application scenarios, such as SSVEP-based early glaucoma diagnosis, emotion recognition and depression discrimination.
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关键词
EEG characteristics,EEGformer,SSVEPs,brain activity classification,deep learning
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