Framework for Privacy-Preserving Wearable Health Data Analysis: Proof-of-Concept Study for Atrial Fibrillation Detection

Framework for Privacy-Preserving Wearable Health Data Analysis: Proof-of-Concept Study for Atrial Fibrillation Detection

Medical wearable devices monitor health data and, coupled with data analytics, cloud computing, and artificial intelligence (AI), enable early detection of disease. Privacy issues arise when personal health information is sent or processed outside the device. We propose a framework that ensures the...

Full description

Bibliographic Details
Main Authors: Anamaria Vizitiu, Cosmin-Ioan Nita, Radu Miron Toev, Tudor Suditu, Constantin Suciu, Lucian Mihai Itu
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Applied Sciences
Subjects:
privacy preservation
homomorphic encryption
electrocardiogram
deep learning
cloud framework
wearable sensor data
Online Access:https://www.mdpi.com/2076-3417/11/19/9049

Internet

https://www.mdpi.com/2076-3417/11/19/9049

Similar Items