Considerate motion imagination classification method using deep learning

In order to improve the classification accuracy of motion imagination, a considerate motion imagination classification method using deep learning is proposed. Specifically, based on a graph structure suitable for electroencephalography as input, the proposed model can accurately represent the distri...

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Detalles Bibliográficos
Autores principales: Yan, Zhaokun, Yang, Xiangquan, Jin, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9584501/
https://www.ncbi.nlm.nih.gov/pubmed/36264857
http://dx.doi.org/10.1371/journal.pone.0276526

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9584501/
https://www.ncbi.nlm.nih.gov/pubmed/36264857
http://dx.doi.org/10.1371/journal.pone.0276526

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