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Zhenge Jia

2 accepted papers

2025

DiffECG: Diffusion Model-Powered Label-Efficient and Personalized Arrhythmia Diagnosis

IJCAI 2025

Arrhythmia diagnosis using electrocardiogram (ECG) is critical for preventing cardiovascular risks. However, existing deep learning-based methods struggle with label scarcity and contrastive learning-based methods suffer from false-negative samples, which lead to poor model generalization. Besides,

2021

Learning to Learn Personalized Neural Network for Ventricular Arrhythmias Detection on Intracardiac EGMs

IJCAI 2021poster

Life-threatening ventricular arrhythmias (VAs) detection on intracardiac electrograms (IEGMs) is essential to Implantable Cardioverter Defibrillators (ICDs). However, current VAs detection methods count on a variety of heuristic detection criteria, and require frequent manual interventions to person…

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