Interpretable Feature Generation in ECG Using a Variational Autoencoder
We propose a method for generating an electrocardiogram (ECG) signal for one cardiac cycle using a variational autoencoder. Our goal was to encode the original ECG signal using as few features as possible. Using this method we extracted a vector of new 25 features, which in many cases can be interpr...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2021-04-01
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| coleção: | Frontiers in Genetics |
| Assuntos: | |
| Acesso em linha: | https://www.frontiersin.org/articles/10.3389/fgene.2021.638191/full |
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