Improving single-hand open/close motor imagery classification by error-related potentials correction

OBJECTIVE: The ability of a brain-computer interface (BCI) to classify brain activity in electroencephalograms (EEG) during motor imagery (MI) tasks is an important performance indicator. Because the cortical regions that drive the single-handed open and closed tasks overlap, it is difficult to clas...

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Detalles Bibliográficos
Autores principales: Lei, Yanghao, Wang, Dong, Wang, Weizhen, Qu, Hao, Wang, Jing, Shi, Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10382287/
https://www.ncbi.nlm.nih.gov/pubmed/37520987
http://dx.doi.org/10.1016/j.heliyon.2023.e18452

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10382287/
https://www.ncbi.nlm.nih.gov/pubmed/37520987
http://dx.doi.org/10.1016/j.heliyon.2023.e18452

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