A spatial-temporal linear feature learning algorithm for P300-based brain-computer interfaces

Speller brain-computer interface (BCI) systems can help neuromuscular disorders patients write their thoughts by using the electroencephalogram (EEG) signals by just focusing on the speller tasks. For practical speller-based BCI systems, the P300 event-related brain potential is measured by using th...

Descripción completa

Detalles Bibliográficos
Autores principales: Aghili, Seyedeh Nadia, Kilani, Sepideh, Khushaba, Rami N, Rouhani, Ehsan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10126938/
https://www.ncbi.nlm.nih.gov/pubmed/37113774
http://dx.doi.org/10.1016/j.heliyon.2023.e15380

Ejemplares similares

Ejemplares similares