EEG classification across sessions and across subjects through transfer learning in motor imagery-based brain-machine interface system.
Transfer learning enables the adaption of models to handle mismatches of distributions across sessions or across subjects. In this paper, we proposed a new transfer learning algorithm to classify motor imagery EEG data. By analyzing the power spectrum of EEG data related to motor imagery, the shared...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 58; no. 7; pp. 1515 - 1529 |
|---|---|
| Autores principales: | , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Jul2020
|
| Acceso en línea: | Ver este registro en EBSCOhost |