Article

Quantum-Refined Latent Diffusion: A Hybrid Generative Framework for Imbalanced ECG Classification

2026-04-10

Abstract excerpt

Class imbalance in clinical electrocardiogram (ECG) datasets limits the diagnostic sensitivity of automated arrhythmia classifiers, particularly for rare but clinically significant beat types. We propose a three-stage hybrid generative pipeline that combines a spectral-guided conditional Variational Autoencoder (cVAE), a class-conditional latent Denoising Diffusion Probabilistic Model (DDPM), and a Quantum Latent...

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Literature Corpus work: e5ac779a-577d-5d34-8c85-f0934469171d
DOI: 10.64898/2026.04.09.26350502

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