A Convolutional Neural Network for SSVEP Identification by Using a Few-Channel EEG

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 b...

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Principais autores:	Xiaodong Li, Shuoheng Yang, Ningbo Fei, Junlin Wang, Wei Huang, Yong Hu
格式:	Artigo
語言:	Inglês
出版:	MDPI AG 2024-06-01
叢編:	Bioengineering
主題:	steady-state visual evoked potential (SSVEP) brain–computer interface (BCI) electroencephalogram (EEG) convolutional neural network (CNN) few channel
在線閱讀:	https://www.mdpi.com/2306-5354/11/6/613
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