Assessing the Reidentification Risks Posed by Deep Learning Algorithms Applied to ECG Data

Assessing the Reidentification Risks Posed by Deep Learning Algorithms Applied to ECG Data

ECG (Electrocardiogram) data analysis is one of the most widely used and important tools in cardiology diagnostics. In recent years the development of advanced deep learning techniques and GPU hardware have made it possible to train neural network models that attain exceptionally high levels of accu...

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Bibliographic Details
Main Authors: Arin Ghazarian, Jianwei Zheng, Daniele Struppa, Cyril Rakovski
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Biometrics
convolutional neural networks (CNN)
deep learning
electrocardiogram (ECG)
ECG identification
privacy
Online Access:https://ieeexplore.ieee.org/document/9804491/

Internet

https://ieeexplore.ieee.org/document/9804491/

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