A hybrid brain-computer interface using motor imagery and SSVEP Based on convolutional neural network
The key to electroencephalography (EEG)-based brain-computer interface (BCI) lies in neural decoding, and its accuracy can be improved by using hybrid BCI paradigms, that is, fusing multiple paradigms. However, hybrid BCIs usually require separate processing processes for EEG signals in each paradig...
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| Автори: | , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Taylor & Francis Group
2023-12-01
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| Серія: | Brain-Apparatus Communication |
| Предмети: | |
| Онлайн доступ: | http://dx.doi.org/10.1080/27706710.2023.2258938 |
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