Single-trial P300 classification algorithm based on centralized multi-person data fusion CNN

INTRODUCTION: Currently, it is still a challenge to detect single-trial P300 from electroencephalography (EEG) signals. In this paper, to address the typical problems faced by existing single-trial P300 classification, such as complex, time-consuming and low accuracy processes, a single-trial P300 c...

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Detalles Bibliográficos
Autores principales: Du, Pu, Li, Penghai, Cheng, Longlong, Li, Xueqing, Su, Jianxian
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/PMC9992797/
https://www.ncbi.nlm.nih.gov/pubmed/36908799
http://dx.doi.org/10.3389/fnins.2023.1132290

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9992797/
https://www.ncbi.nlm.nih.gov/pubmed/36908799
http://dx.doi.org/10.3389/fnins.2023.1132290

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