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Sahar Selim

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#machine learning Preprint Oct 2026

BeatFlow-ECG: Rectified Flow for ECG Reconstruction from Indirect Wearable Signals

BeatFlow-ECG is presented, a conditional rectified-flow model for reconstructing single-channel ECG from synchronized PPG and inertial measurements and achieves the best results among the evaluated deterministic, adversarial, and diffusion-based baselines across all reported waveform and beat-timing metrics.

Mohamed S. Kamel, Sahar Selim, Walaa Medhat et al. · 0 citations

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