CFSPMNet improves cross-subject MI-EEG decoding accuracy for stroke patients to 68-73% by combining Fourier-guided Mamba networks with calibrated prototype matching, outperforming baselines by 5-8 points.
Eeg-based predictors of motor recovery during immersive vr-bci rehabilitation.Scientific Reports, 16(1):7870, Feb 2026
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CFSPMNet: Cross-subject Fourier-guided Spatial-Patch Mamba Network for EEG Motor Imagery Decoding in Stroke Patients
CFSPMNet improves cross-subject MI-EEG decoding accuracy for stroke patients to 68-73% by combining Fourier-guided Mamba networks with calibrated prototype matching, outperforming baselines by 5-8 points.