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...
I tiakina i:
| Ngā kaituhi matua: | , , , |
|---|---|
| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
Taylor & Francis Group
2023-12-01
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| Rangatū: | Brain-Apparatus Communication |
| Ngā marau: | |
| Urunga tuihono: | http://dx.doi.org/10.1080/27706710.2023.2258938 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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