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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| 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 |