M-FANet: Multi-Feature Attention Convolutional Neural Network for Motor Imagery Decoding

• Main Authors: Yiyang Qin (Author), Banghua Yang (Author), Sixiong Ke (Author), Peng Liu (Author), Fenqi Rong (Author), Xinxing Xia (Author)
• Format: Book
• Published: IEEE, 2024-01-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Motor imagery (MI) decoding methods are pivotal in advancing rehabilitation and motor control research. Effective extraction of spectral-spatial-temporal features is crucial for MI decoding from limited and low signal-to-noise ratio electroencephalogram (EEG) signal samples based on brain-computer i...