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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2020
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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 |