Article

Data Imbalance in Cardiac Health Diagnostics Using CECG-GAN

2023-11-29

Abstract excerpt

Heart disease is the world's leading cause of death. Diagnostic models based on electrocardiograms (ECGs) are often limited by the scarcity of high-quality data and issues of data imbalance. To address these challenges, we propose a Conditional Generative Adversarial Network (CECG-GAN). This strategy enables the generation of samples that closely approximate the distribution of ECG data. Additionally, CECG-GAN add...

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Literature Corpus work: 9743e4fc-3d81-5e0b-9bae-09615bd2156c
DOI: 10.21203/rs.3.rs-3633366/v1

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