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.
Evaluating diagnostic accuracy and clinician variability in auscultation-based identification of valvular heart disease,
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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.