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A large EEG dataset for studying cross-session variability in motor imagery brain-computer interface
In building a practical and robust brain-computer interface (BCI), the classification of motor imagery (MI) from electroencephalography (EEG) across multiple days is a long-standing challenge due to the large variability of the EEG signals. We collected a large dataset of MI from 5 different days wi...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9436944/ https://www.ncbi.nlm.nih.gov/pubmed/36050394 http://dx.doi.org/10.1038/s41597-022-01647-1 |