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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Anamaria Vizitiu, Cosmin-Ioan Nita, Radu Miron Toev, Tudor Suditu, Constantin Suciu, Lucian Mihai Itu
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	MDPI AG 2021-09-01
Σειρά:	Applied Sciences
Θέματα:	privacy preservation homomorphic encryption electrocardiogram deep learning cloud framework wearable sensor data
Διαθέσιμο Online:	https://www.mdpi.com/2076-3417/11/19/9049
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