A Novel Time-Incremental End-to-End Shared Neural Network with Attention-Based Feature Fusion for Multiclass Motor Imagery Recognition

In the research of motor imagery brain-computer interface (MI-BCI), traditional electroencephalogram (EEG) signal recognition algorithms appear to be inefficient in extracting EEG signal features and improving classification accuracy. In this paper, we discuss a solution to this problem based on a n...

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Detalles Bibliográficos
Autores principales: Lian, Shidong, Xu, Jialin, Zuo, Guokun, Wei, Xia, Zhou, Huilin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7906822/
https://www.ncbi.nlm.nih.gov/pubmed/33679965
http://dx.doi.org/10.1155/2021/6613105

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7906822/
https://www.ncbi.nlm.nih.gov/pubmed/33679965
http://dx.doi.org/10.1155/2021/6613105

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