Cross-Subject Motor Imagery Decoding by Transfer Learning of Tactile ERD
For Brain-Computer Interface (BCI) based on motor imagery (MI), the MI task is abstract and spontaneous, presenting challenges in measurement and control and resulting in a lower signal-to-noise ratio. The quality of the collected MI data significantly impacts the cross-subject calibration results....
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| Автори: | , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
IEEE
2024-01-01
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| Серія: | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
| Предмети: | |
| Онлайн доступ: | https://ieeexplore.ieee.org/document/10414146/ |
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