Adaptive GCN and Bi-GRU-Based Dual Branch for Motor Imagery EEG Decoding

Adaptive GCN and Bi-GRU-Based Dual Branch for Motor Imagery EEG Decoding

Decoding motor imagery electroencephalography (MI-EEG) signals presents significant challenges due to the difficulty in capturing the complex functional connectivity between channels and the temporal dependencies of EEG signals across different periods. These challenges are exacerbated by the low sp...

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Bibliographic Details
Main Authors: Yelan Wu, Pugang Cao, Meng Xu, Yue Zhang, Xiaoqin Lian, Chongchong Yu
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Sensors
Subjects:
brain–computer interface (BCI)
motor imagery (MI)
electroencephalography (EEG)
adaptive graph convolutional network (Adaptive GCN)
attention module
channel correlation
Online Access:https://www.mdpi.com/1424-8220/25/4/1147
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