EEGSym: Overcoming Inter-Subject Variability in Motor Imagery Based BCIs With Deep Learning

  1. Perez-Velasco, S.
  2. Santamaria-Vazquez, E.
  3. Martinez-Cagigal, V.
  4. Marcos-Martinez, D.
  5. Hornero, R.
Zeitschrift:
IEEE Transactions on Neural Systems and Rehabilitation Engineering

ISSN: 1558-0210,  1534-4320

Datum der Publikation: 2022

Ausgabe: 30

Seiten: 1766-1775

Art: Artikel

DOI: 10.1109/TNSRE.2022.3186442 GOOGLE SCHOLAR lock_openOpen Access editor
Datenquelle: Scopus