Enhancing the decoding accuracy of EEG signals by the introduction of anchored-STFT and adversarial data augmentation method

Brain-computer interfaces (BCIs) enable communication between humans and machines by translating brain activity into control commands. Electroencephalography (EEG) signals are one of the most used brain signals in non-invasive BCI applications but are often contaminated with noise. Therefore, it is...

Descripción completa

Detalles Bibliográficos
Autores principales: Ali, Omair, Saif-ur-Rehman, Muhammad, Dyck, Susanne, Glasmachers, Tobias, Iossifidis, Ioannis, Klaes, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8913630/
https://www.ncbi.nlm.nih.gov/pubmed/35273310
http://dx.doi.org/10.1038/s41598-022-07992-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8913630/
https://www.ncbi.nlm.nih.gov/pubmed/35273310
http://dx.doi.org/10.1038/s41598-022-07992-w

Ejemplares similares