Generation of 12-Lead Electrocardiogram with Subject-Specific, Image-Derived Characteristics Using a Conditional Variational Autoencoder
Author:
Affiliation:
1. University of Oxford,Institute of Biomedical Engineering,Department of Engineering Science,UK
Funder
European Commission
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9761376/9761399/09761431.pdf?arnumber=9761431
Reference12 articles.
1. Using the CareMap with Health Incidents Statistics for Generating the Realistic Synthetic Electronic Healthcare Record
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3. Electrocardiogram generation and feature extraction using a variational autoencoder;kuznetsov,2020
4. On the use of generative deep neural networks to synthesize artificial multichannel EEG signals
5. Electrocardiographic characteristics in the underweight and obese in accordance with the World Health Organization classification
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