ProEGAN-MS: A Progressive Growing Generative Adversarial Networks for Electrocardiogram Generation

ProEGAN-MS: A Progressive Growing Generative Adversarial Networks for Electrocardiogram Generation

Electrocardiogram (ECG) is a physiological signal widely used in monitoring heart health, which is of great significance to the detection and diagnosis of heart diseases. Because abnormal heart rhythms are very rare, most ECG datasets have data imbalance problems. At present, many algorithms for ECG...

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Bibliographic Details
Main Authors: Haixu Yang, Jihong Liu, Lvheng Zhang, Yan Li, Henggui Zhang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Generative adversarial networks
data augmentation
electrocardiogram signals
ECG generation
Online Access:https://ieeexplore.ieee.org/document/9389779/

Internet

https://ieeexplore.ieee.org/document/9389779/

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