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...

Descripció completa

Dades bibliogràfiques

Autors principals:	Wenwei Luo, Wanguang Yin, Quanying Liu, Youzhi Qu
Format:	Artigo
Idioma:	Inglês
Publicat:	Taylor & Francis Group 2023-12-01
Col·lecció:	Brain-Apparatus Communication
Matèries:	brain-computer interface (bci) convolutional neural networks (cnns) electroencephalography (eeg) steady-state visual evoked potential (ssvep) motor imagery (mi)
Accés en línia:	http://dx.doi.org/10.1080/27706710.2023.2258938
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!