A Disentangled VAE-BiLSTM Model for Heart Rate Anomaly Detection

A Disentangled VAE-BiLSTM Model for Heart Rate Anomaly Detection

Cardiovascular diseases (CVDs) remain a leading cause of death globally. According to the American Heart Association, approximately 19.1 million deaths were attributed to CVDs in 2020, in particular, ischemic heart disease and stroke. Several known risk factors for CVDs include smoking, alcohol cons...

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Bibliographic Details
Main Authors:	Alessio Staffini, Thomas Svensson, Ung-il Chung, Akiko Kishi Svensson
Format:	Article
Language:	English
Published:	MDPI AG 2023-06-01
Series:	Bioengineering
Subjects:	heart rate wearable devices anomaly detection deep learning variational autoencoder
Online Access:	https://www.mdpi.com/2306-5354/10/6/683

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