FACT-Net: A Frequency Adapter CNN With Temporal-Periodicity Inception for Fast and Accurate MI-EEG Decoding

• Главные авторы: Sixiong Ke (Автор), Banghua Yang (Автор), Yiyang Qin (Автор), Fenqi Rong (Автор), Jiayang Zhang (Автор), Yanyan Zheng (Автор)
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• Опубликовано: IEEE, 2024-01-01T00:00:00Z.
• Предметы: article
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Motor imagery brain-computer interface (MI-BCI) based on non-invasive electroencephalogram (EEG) signals is a typical paradigm of BCI. However, existing decoding methods face significant challenges in terms of signal decoding accuracy, real-time processing, and deployment. To overcome these challeng...