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A Multifrequency Brain Network-Based Deep Learning Framework for Motor Imagery Decoding

Motor imagery (MI) is an important part of brain-computer interface (BCI) research, which could decode the subject's intention and help remodel the neural system of stroke patients. Therefore, accurate decoding of electroencephalography- (EEG-) based motion imagination has received a lot of att...

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Detalles Bibliográficos
Autores principales: Xue, Juntao, Ren, Feiyue, Sun, Xinlin, Yin, Miaomiao, Wu, Jialing, Ma, Chao, Gao, Zhongke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7787825/
https://www.ncbi.nlm.nih.gov/pubmed/33505456
http://dx.doi.org/10.1155/2020/8863223