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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...

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Principais autores: Anamaria Vizitiu, Cosmin-Ioan Nita, Radu Miron Toev, Tudor Suditu, Constantin Suciu, Lucian Mihai Itu
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2021-09-01
Serier:Applied Sciences
Fag:
privacy preservation
homomorphic encryption
electrocardiogram
deep learning
cloud framework
wearable sensor data
Online adgang:https://www.mdpi.com/2076-3417/11/19/9049
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