SSVEP unsupervised adaptive feature recognition method based on self-similarity of same-frequency signals

INTRODUCTION: As an important human-computer interaction technology, steady-state visual evoked potential (SSVEP) plays a key role in the application of brain computer interface (BCI) systems by accurately decoding SSVEP signals. Currently, the majority SSVEP feature recognition methods use a static...

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Detalles Bibliográficos
Autores principales: Yan, Wenqiang, He, Bo, Zhao, Jin
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/PMC10434234/
https://www.ncbi.nlm.nih.gov/pubmed/37600011
http://dx.doi.org/10.3389/fnins.2023.1161511

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10434234/
https://www.ncbi.nlm.nih.gov/pubmed/37600011
http://dx.doi.org/10.3389/fnins.2023.1161511

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