Joint hybrid recursive feature elimination based channel selection and ResGCN for cross session MI recognition

Abstract In the field of brain-computer interface (BCI) based on motor imagery (MI), multi-channel electroencephalography (EEG) data is commonly utilized for MI task recognition to achieve sensory compensation or precise human-computer interaction. However, individual physiological differences, envi...

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Bibliographic Details

Published in:	Scientific Reports
Main Authors:	Duan Li, Keyun Li, Yongquan Xia, Jianhua Dong, Ronglei Lu
Format:	Article
Language:	English
Published:	Nature Portfolio 2024-10-01
Subjects:	Brain-computer interface (BCI) Motor imagery (MI) Channel selection Deep learning Graph convolutional neural network (GCN)
Online Access:	https://doi.org/10.1038/s41598-024-73536-z