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

Collection of recent wireless/RF and physiological-signal papers with multiple dual-use implications. Highlights include: PG-LRF, a physiology-guided generative flow for converting wearable PPG into diagnostic-like ECGs (raises privacy, spoofing and medical-data-falsification concerns); methods for CSI prediction, hybrid-field THz UM‑MIMO channel estimation, and scalable beam-selection/GP algorithms for massive RIS/beamforming (improve link performance but also enable finer eavesdropping, targeted jamming, or beam-steering attacks); a Marginal Maximum Likelihood estimator that leverages OFDM/p