Cargando…
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...
| Autores principales: | , , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
|
| Materias: | |
| 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 |