Papers/2609.20904
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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

multimodalbrain-computer interfacessignal processing
2609.20904
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1h ago

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

Core Claim

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.

Method / Result

On Dataset 1, EEG + synthetic fNIRS improves accuracy over EEG-only by 3.37 and 4.15 percentage points for HbR and HbO, respectively.

Limitations

The method may require specific hardware (RTX PRO 6000 GPU) for optimal performance, which could limit accessibility for broader testing.

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