A Convolutional Neural Network for SSVEP Identification by Using a Few-Channel EEG
Xiaodong Li,
Shuoheng Yang,
Ningbo Fei
et al.
Abstract:The application of wearable electroencephalogram (EEG) devices is growing in brain–computer interfaces (BCI) owing to their good wearability and portability. Compared with conventional devices, wearable devices typically support fewer EEG channels. Devices with few-channel EEGs have been proven to be available for steady-state visual evoked potential (SSVEP)-based BCI. However, fewer-channel EEGs can cause the BCI performance to decrease. To address this issue, an attention-based complex spectrum–convolutional… Show more
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