A diffusion model generates synthetic phonocardiogram clips that retain some normal/abnormal discriminative structure (82.8% classifier accuracy) but show reduced envelope periodicity and increased burstiness relative to real clips from the PhysioNet 2016 dataset.
Signal statistics of heart sound recordings: a comparative study between smartphones and elec- tronic stethoscopes,
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IGbIPP planning with multi-UAV probabilistic fusion outperforms random walk and sweep baselines in reducing entropy and mapping error for terrain mapping, with simple fusion rules performing best.
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Diffusion-Based Heart Sound Generation: Evaluation with Physiological Signal Metrics, Classifiers, and Expert Listening
A diffusion model generates synthetic phonocardiogram clips that retain some normal/abnormal discriminative structure (82.8% classifier accuracy) but show reduced envelope periodicity and increased burstiness relative to real clips from the PhysioNet 2016 dataset.
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Multi-UAV Active Sensing with Information Gain-based Planning and Belief Fusion
IGbIPP planning with multi-UAV probabilistic fusion outperforms random walk and sweep baselines in reducing entropy and mapping error for terrain mapping, with simple fusion rules performing best.