Subject Separation Network for Reducing Calibration Time of MI-Based BCI

Motor imagery brain–computer interface (MI-based BCIs) have demonstrated great potential in various applications. However, to well generalize classifiers to new subjects, a time-consuming calibration process is necessary due to high inter-subject variabilities of EEG signals. This process is costly...

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Detalles Bibliográficos
Autores principales: Hu, Haochen, Yue, Kang, Guo, Mei, Lu, Kai, Liu, Yue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9954620/
https://www.ncbi.nlm.nih.gov/pubmed/36831764
http://dx.doi.org/10.3390/brainsci13020221

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9954620/
https://www.ncbi.nlm.nih.gov/pubmed/36831764
http://dx.doi.org/10.3390/brainsci13020221

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