Generating Synthetic ECGs Using GANs for Anonymizing Healthcare Data

In personalized healthcare, an ecosystem for the manipulation of reliable and safe private data should be orchestrated. This paper describes an approach for the generation of synthetic electrocardiograms (ECGs) based on Generative Adversarial Networks (GANs) with the objective of anonymizing users’...

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Bibliographic Details
Main Authors: Esteban Piacentino, Alvaro Guarner, Cecilio Angulo
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Electronics
Subjects:
GAN
ECG
Online Access:https://www.mdpi.com/2079-9292/10/4/389