Decoding motor imagery tasks using ESI and hybrid feature CNN

Brain-computer interface (BCI) based on motor imaging electroencephalogram (MI-EEG) can be useful in a natural interaction system. In this paper, a new framework is proposed to solve the MI-EEG binary classification problem. Electrophysiological source imaging (ESI) technology is used to solve the i...

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Vydané v:	Journal of neural engineering Ročník 19; číslo 1
Hlavní autori:	Fang, Tao, Song, Zuoting, Zhan, Gege, Zhang, Xueze, Mu, Wei, Wang, Pengchao, Zhang, Lihua, Kang, Xiaoyang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England 01.02.2022
Predmet:	Algorithms Brain-Computer Interfaces Electroencephalography Imagination - physiology Neural Networks, Computer Wavelet Analysis data augment convolutional neural network (CNN) motor imagery (MI) electroencephalogram (EEG) electrophysiological source imaging (ESI)
ISSN:	1741-2552, 1741-2552
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