A Parallel Feature Fusion Network Combining GRU and CNN for Motor Imagery EEG Decoding

A Parallel Feature Fusion Network Combining GRU and CNN for Motor Imagery EEG Decoding

In recent years, deep-learning-based motor imagery (MI) electroencephalography (EEG) decoding methods have shown great potential in the field of the brain–computer interface (BCI). The existing literature is relatively mature in decoding methods for two classes of MI tasks. However, with the increas...

Full description

Bibliographic Details
Main Authors: Siheng Gao, Jun Yang, Tao Shen, Wen Jiang
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Brain Sciences
Subjects:
brain-computer interface (BCI)
convolutional neural network (CNN)
four-class motor imagery
gated recurrent unit (GRU)
Online Access:https://www.mdpi.com/2076-3425/12/9/1233

Internet

https://www.mdpi.com/2076-3425/12/9/1233

Similar Items