EEGSym: Overcoming inter-subject variability in motor imagery based BCIs with deep learning
Producción Científica
| Authors: | , , , , |
|---|---|
| Format: | article |
| Status: | Published version |
| Publication Date: | 2022 |
| Country: | España |
| Institution: | Universidad de Valladolid |
| Repository: | UVaDOC. Repositorio Documental de la Universidad de Valladolid |
| OAI Identifier: | oai:uvadoc.uva.es:10324/81636 |
| Online Access: | https://doi.org/10.1109/TNSRE.2022.3186442 https://uvadoc.uva.es/handle/10324/81636 |
| Access Level: | Open access |
| Keyword: | Brain computer interface (BCI), deep learning (DL), motor imagery, transfer learning, inter-subject |
| Summary: | Producción Científica |
|---|