Dynamic pruning group equivariant network for motor imagery EEG recognition

Introduction: The decoding of the motor imaging electroencephalogram (MI-EEG) is the most critical part of the brain-computer interface (BCI) system. However, the inherent complexity of EEG signals makes it challenging to analyze and model them. Methods: In order to effectively extract and classify...

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Detalles Bibliográficos
Autores principales: Tang, Xianlun, Zhang, Wei, Wang, Huiming, Wang, Tianzhu, Tan, Cong, Zou, Mi, Xu, Zihui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Bioengineering and Biotechnology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10267707/
https://www.ncbi.nlm.nih.gov/pubmed/37324415
http://dx.doi.org/10.3389/fbioe.2023.917328

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10267707/
https://www.ncbi.nlm.nih.gov/pubmed/37324415
http://dx.doi.org/10.3389/fbioe.2023.917328

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