MSATNet: multi-scale adaptive transformer network for motor imagery classification

Motor imagery brain-computer interface (MI-BCI) can parse user motor imagery to achieve wheelchair control or motion control for smart prostheses. However, problems of poor feature extraction and low cross-subject performance exist in the model for motor imagery classification tasks. To address thes...

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Detalles Bibliográficos
Autores principales: Hu, Lingyan, Hong, Weijie, Liu, Lingyu
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/PMC10303110/
https://www.ncbi.nlm.nih.gov/pubmed/37389361
http://dx.doi.org/10.3389/fnins.2023.1173778

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10303110/
https://www.ncbi.nlm.nih.gov/pubmed/37389361
http://dx.doi.org/10.3389/fnins.2023.1173778

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