Accès libre

Examining Tongue Movement Intentions in EEG-Based BCI with Machine and Deep Learning: An Approach for Dysphagia Rehabilitation

Sevgi Gökçe Aslan

Sevgi Gökçe Aslan

  • Electrical and Computer Engineering Department, Abdullah Gül UniversityKayseri, Türkiye
  • Biomedical Engineering Department, İnönü UniversityMalatya, Türkiye
Recherchez cet auteur sur
Sciendo|Google Scholar
Aslan, Sevgi Gökçe
 et 
Bülent Yılmaz

Bülent Yılmaz

  • GUST Engineering and Applied Innovation Research Center (GEAR), Gulf University for Science and Technology (GUST)Hawally, Kuwait
  • Electrical and Computer Engineering Department, Gulf University for Science and Technology (GUST)Hawally, Kuwait
Recherchez cet auteur sur
Sciendo|Google Scholar
Yılmaz, Bülent
  
17 oct. 2024
Examining Tongue Movement Intentions in EEG-Based BCI with Machine and Deep Learning: An Approach for Dysphagia Rehabilitation's Cover Image
À propos de cet article
Article précédent
Article suivant
Citez
Télécharger la couverture
Publié en ligne: 17 oct. 2024
Pages: 176 - 183
DOI: https://doi.org/10.2478/ebtj-2024-0017
Mots clés
© 2024 Sevgi Gökçe Aslan et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
Langue:
Anglais
Périodicité:
4 fois par an
Sujets de la revue:
Sciences de la vie, Génétique, Biotechnologie, Bioinformatique, Sciences de la vie, autres
RSS Feed de la revue