Recognition of single upper limb motor imagery tasks from EEG using multi-branch fusion convolutional neural network

Motor imagery-based brain-computer interfaces (MI-BCI) have important application values in the field of neurorehabilitation and robot control. At present, MI-BCI mostly use bilateral upper limb motor tasks, but there are relatively few studies on single upper limb MI tasks. In this work, we conduct...

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Detalles Bibliográficos
Autores principales: Zhang, Rui, Chen, Yadi, Xu, Zongxin, Zhang, Lipeng, Hu, Yuxia, Chen, Mingming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9992961/
https://www.ncbi.nlm.nih.gov/pubmed/36908782
http://dx.doi.org/10.3389/fnins.2023.1129049

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9992961/
https://www.ncbi.nlm.nih.gov/pubmed/36908782
http://dx.doi.org/10.3389/fnins.2023.1129049

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