Bio-MF: Low-Latency and High-Fidelity EEG-to-fNIRS Cross-Modal Generation for Hybrid Motor-Imagery Brain--Computer Interfaces
Psychosiwa, Author2, Author3, Author4, Author5
Abstract
This paper presents Bio-MF, a framework for low-latency and high-fidelity EEG-to-fNIRS cross-modal generation, enhancing hybrid motor-imagery brain-computer interfaces.
Reality Card
Bio-MF achieves a generation time of 7.0 ms per fNIRS trial, providing an 857x speedup over traditional methods while maintaining high fidelity in the generated signals.
On Dataset 1, EEG + synthetic fNIRS improves accuracy over EEG-only by 3.37 and 4.15 percentage points for HbR and HbO, respectively.
The method may require specific hardware (RTX PRO 6000 GPU) for optimal performance, which could limit accessibility for broader testing.
Paper to code
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