Reducing calibration time in motor imagery-based BCIs by data alignment and empirical mode decomposition

One of the major reasons that limit the practical applications of a brain-computer interface (BCI) is its long calibration time. In this paper, we propose a novel approach to reducing the calibration time of motor imagery (MI)-based BCIs without sacrificing classification accuracy. The approach aims...

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Detalles Bibliográficos
Autores principales: Xiong, Wei, Wei, Qingguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8824327/
https://www.ncbi.nlm.nih.gov/pubmed/35134085
http://dx.doi.org/10.1371/journal.pone.0263641

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8824327/
https://www.ncbi.nlm.nih.gov/pubmed/35134085
http://dx.doi.org/10.1371/journal.pone.0263641

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