CAT-Net: A Co-Adaptive Transfer Learning Network for BCI-Assisted Neurorehabilitation

• Published in: Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) pp. 1 - 5
• Main Authors: Zhang, Shuailei, Ding, Yi, Jiang, Muyun, Tang, Ning, Chew, Effie, Ang, Kai Keng, Guan, Cuntai
• Format: Conference Proceeding
• Language: English
• Published: IEEE 06.04.2025
• Subjects: Accuracy; Adaptation models; Brain modeling; Data models; Electroencephalography; Motors; Neurorehabilitation; Stroke (medical condition); Training; Transfer learning

Brain-computer interfaces (BCIs) hold great potential for motor recovery in post-stroke patients. However, the motor imagery decoding accuracy is limited by the non-stationarity of EEG signals across subjects and sessions. We propose CAT-Net: a Co-Adaptive Transfer learning network to simultaneously...