Enhancing Detection of Control State for High-Speed Asynchronous SSVEP-BCIs Using Frequency-Specific Framework
This study proposed a novel frequency-specific (FS) algorithm framework for enhancing control state detection using short data length toward high-performance asynchronous steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCI). The FS framework sequentially incorporated ta...
Збережено в:
| Автори: | , , , |
|---|---|
| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
IEEE
2023-01-01
|
| Серія: | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
| Предмети: | |
| Онлайн доступ: | https://ieeexplore.ieee.org/document/10047963/ |
| Теги: |
Немає тегів, Будьте першим, хто поставить тег для цього запису!
|