Frontiers | AMEEGNet: attention-based multiscale EEGNet for effective motor imagery EEG decoding
1 State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China 2 University of Chinese Academy of Sciences, Beijing, China 3 School of Information Science and Engineering, Shenyang University of Chemical Technology, Shenyang, China Recently, electroencephalogram (EEG) based on motor imagery (MI) have gained significant traction in brain-computer interface (BCI) technology, particularly for the rehabilitation of paralyzed patients. But the low signal-to-no
