A Zero-Padding Frequency Domain Convolutional Neural Network for SSVEP Classification

The brain-computer interface (BCI) of steady-state visual evoked potential (SSVEP) is one of the fundamental ways of human-computer communication. The main challenge is that there may be a nonlinear relationship between different SSVEP in other states. For improving the performance of SSVEP BCI, a n...

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Detalhes bibliográficos

Principais autores:	Dongrui Gao, Wenyin Zheng, Manqing Wang, Lutao Wang, Yi Xiao, Yongqing Zhang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2022-03-01
coleção:	Frontiers in Human Neuroscience
Assuntos:	electroencephalogram zero-padding frequency domain steady-state visual evoked potential steady-state motor visual evoked potential convolutional neural network
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fnhum.2022.815163/full
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