2024
DOI: 10.3390/bioengineering11060613
|View full text |Cite
|
Sign up to set email alerts
|

A Convolutional Neural Network for SSVEP Identification by Using a Few-Channel EEG

Xiaodong Li,
Shuoheng Yang,
Ningbo Fei
et al.

Abstract: The application of wearable electroencephalogram (EEG) devices is growing in brain–computer interfaces (BCI) owing to their good wearability and portability. Compared with conventional devices, wearable devices typically support fewer EEG channels. Devices with few-channel EEGs have been proven to be available for steady-state visual evoked potential (SSVEP)-based BCI. However, fewer-channel EEGs can cause the BCI performance to decrease. To address this issue, an attention-based complex spectrum–convolutional… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 50 publications
(75 reference statements)
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?