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...

Fuld beskrivelse

Bibliografiske detaljer

Principais autores:	Wenwei Luo, Wanguang Yin, Quanying Liu, Youzhi Qu
Format:	Artigo
Sprog:	Inglês
Udgivet:	Taylor & Francis Group 2023-12-01
Serier:	Brain-Apparatus Communication
Fag:	brain-computer interface (bci) convolutional neural networks (cnns) electroencephalography (eeg) steady-state visual evoked potential (ssvep) motor imagery (mi)
Online adgang:	http://dx.doi.org/10.1080/27706710.2023.2258938
Tags:	Tilføj Tag Ingen Tags, Vær først til at tagge denne postø!