A Methodology for Enhancing SSVEP Features Using Adaptive Filtering Based on the Spatial Distribution of EEG Signals

In this paper, we propose a classification algorithm of EEG signal based on canonical correlation analysis (CCA) and integrated with adaptive filtering. It can enhance the detection of steady-state visual evoked potentials (SSVEPs) in a brain–computer interface (BCI) speller. An adaptive filter is e...

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Detalles Bibliográficos
Autores principales: Wang, Shengyu, Ji, Bowen, Shao, Dian, Chen, Wanru, Gao, Kunpeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10223918/
https://www.ncbi.nlm.nih.gov/pubmed/37241600
http://dx.doi.org/10.3390/mi14050976

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10223918/
https://www.ncbi.nlm.nih.gov/pubmed/37241600
http://dx.doi.org/10.3390/mi14050976

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