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Generating synthetic ecgs using gans for anonymizing healthcare data

Author
Piacentino, E.; Angulo, C.; Guarner, A.
Type of activity
Journal article
Journal
Electronics (Switzerland)
Date of publication
2021-01-01
Volume
10
Number
4
First page
389/1
Last page
389/21
DOI
10.3390/electronics10040389
Repository
http://hdl.handle.net/2117/344640 Open in new window
URL
https://www.mdpi.com/2079-9292/10/4/389 Open in new window
Abstract
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’ information for privacy issues. This is intended to create valuable data that can be used both in educational and research areas, while avoiding the risk of a sensitive data leakage. As GANs are mai...
Citation
Piacentino, E.; Angulo, C.; Guarner, A. Generating synthetic ecgs using gans for anonymizing healthcare data. "Electronics (Switzerland)", 1 Gener 2021, vol. 10, núm. 4, p. 389/1-389/21.
Keywords
Anonymization, Data transformation, ECG, GAN, Healthcare data, Sensors
Group of research
GREC - Knowledge Engineering Research Group
Universitat Politècnica de Catalunya

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