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...
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| 主要な著者: | , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
IEEE
2023-01-01
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| シリーズ: | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
| 主題: | |
| オンライン･アクセス: | https://ieeexplore.ieee.org/document/10047963/ |
| タグ: |
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