A publicly released conditional hierarchical VAE generates high-resolution multi-pathology ECGs and raises downstream AUROC by up to 2% over GAN baselines in transfer-learning tests.
Proegan-ms: A progressive growing generative adversarial networks for electrocar- diogram generation,
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Conditional Electrocardiogram Generation Using Hierarchical Variational Autoencoders
A publicly released conditional hierarchical VAE generates high-resolution multi-pathology ECGs and raises downstream AUROC by up to 2% over GAN baselines in transfer-learning tests.