MAGCANet: A multiscale adaptive graph-convolutional attention network for MI-EEG decoding
MAGCANet provides a robust and interpretable solution for MI-EEG decoding, balancing high precision with computational efficiency, and offering a reliable method for real-time BCI applications.
Authors
- Guimei Yin
- Xinjie Zhu (ORCID: https://orcid.org/0009-0007-0871-9449)
- Shuping Tan
- Feng Ding (ORCID: https://orcid.org/0000-0001-5973-180X)
- Dongli Shi
- Zihao Wei
- Jianhong Yan
- Yanli Zhao
- Lin Wang
- Bin Wang
- Yuxiang Wang
Institutions
- Taiyuan Normal University (CN)
- Beijing HuiLongGuan Hospital (CN)
- Taiyuan University of Science and Technology (CN)
- Taiyuan University of Technology (CN)
Publication Details
- Journal
- Biomedical Physics & Engineering Express
- Published
- 2026-03-03
- DOI
- https://doi.org/10.1088/2057-1976/ae4c94
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 0.00