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Bispectrum-based hybrid neural network for motor imagery classification.
Liu, Chang; Jin, Jing; Daly, Ian; Sun, Hao; Huang, Yitao; Wang, Xingyu; Cichocki, Andrzej.
Afiliación
  • Liu C; Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai 200237, People's Republic of China.
  • Jin J; Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai 200237, People's Republic of China; Shenzhen Research Institute of East China University of Technology, Shen Zhen, 518063, China. Electronic address: jin
  • Daly I; Brain-Computer Interfacing and Neural Engineering Laboratory, School of Computer Science and Electronic Engineering, University of Essex, Colchester, Essex CO4 3SQ, UK.
  • Sun H; Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai 200237, People's Republic of China.
  • Huang Y; Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai 200237, People's Republic of China.
  • Wang X; Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai 200237, People's Republic of China.
  • Cichocki A; Skolkovo Institute of Science and Technology (Skoltech), 121205 Moscow, Russia; Department of Applied Computer Science, Nicolaus Copernicus University (UMK), 87-100 Torun, Poland.
J Neurosci Methods ; 375: 109593, 2022 06 01.
Article en En | MEDLINE | ID: mdl-35398087
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Interfaces Cerebro-Computador Idioma: En Revista: J Neurosci Methods Año: 2022 Tipo del documento: Article Pais de publicación: Países Bajos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Interfaces Cerebro-Computador Idioma: En Revista: J Neurosci Methods Año: 2022 Tipo del documento: Article Pais de publicación: Países Bajos