A large EEG dataset for studying cross-session variability in motor imagery brain-computer interface.

Ma, Jun; Yang, Banghua; Qiu, Wenzheng; Li, Yunzhe; Gao, Shouwei; Xia, Xinxing

Ma, Jun; Yang, Banghua; Qiu, Wenzheng; Li, Yunzhe; Gao, Shouwei; Xia, Xinxing.

Afiliación

Ma J; School of Mechatronic Engineering and Automation, School of Medicine, Research Center of Brain-Computer Engineering, Shanghai University, Shanghai, China.
Yang B; School of Mechatronic Engineering and Automation, School of Medicine, Research Center of Brain-Computer Engineering, Shanghai University, Shanghai, China. yangbanghua@shu.edu.cn.
Qiu W; Engineering Research Center of Traditional Chinese Medicine Intelligent Rehabilitation, Ministry of Education, Shanghai, China. yangbanghua@shu.edu.cn.
Li Y; School of Mechatronic Engineering and Automation, School of Medicine, Research Center of Brain-Computer Engineering, Shanghai University, Shanghai, China.
Gao S; School of Mechatronic Engineering and Automation, School of Medicine, Research Center of Brain-Computer Engineering, Shanghai University, Shanghai, China.
Xia X; School of Mechatronic Engineering and Automation, School of Medicine, Research Center of Brain-Computer Engineering, Shanghai University, Shanghai, China.

Sci Data ; 9(1): 531, 2022 09 01.

Article en En | MEDLINE | ID: mdl-36050394

Asunto(s)

Interfaces Cerebro-Computador; Electroencefalografía; Algoritmos; Mano; Humanos

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Electroencefalografía / Interfaces Cerebro-Computador Límite: Humans Idioma: En Revista: Sci Data Año: 2022 Tipo del documento: Article País de afiliación: China

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