PG-LRF: Physiology-Guided Latent Rectified Flow for Electro-Hemodynamic PPG-to-ECG Generation

arXiv 2605.12541•cb4f2e72b4ce590aeb8363ea6c4191bbe6f8d39556ea44c8cc80907fefb5f58c
CSI-predictionECG-spoofingGNSS-interferenceISACMIMOOFDMPPG-to-ECGTHzUM-MIMOantenna-Q-factorbeam-selectionchannel-estimationemitter-localizationflow-modelslocalizationmachine-learningmedical-privacyphysiological-signal-synthesisreconfigurable-intelligent-surfacereinforcement-learningsatellite-terrestrial-networkssecurity-privacystochastic-geometrytime-Floquet-RISwearables

Paper metadata

arXiv ID
2605.12541
Version
Not specified by this published record
Category
Electrical Engineering and Systems Science — Signal Processing (eess.SP)

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Evidence and limitations

Source ID
arxiv_eess_sp
Record identifier
cb4f2e72b4ce590aeb8363ea6c4191bbe6f8d39556ea44c8cc80907fefb5f58c
Enrichment time
2026-05-14T08:51:41Z
AI-assisted enrichment
Yes

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PG-LRF: Physiology-Guided Latent Rectified Flow for Electro-Hemodynamic PPG-to-ECG Generation · Baitaphish