A Disentangled VAE-BiLSTM Model for Heart Rate Anomaly Detection.

ABSTRACT: 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 consumption, lack of regular physical activity, and diabetes. The last decade has been characterized by widespread diffusion in the use of wristband-style wearable devices which can monitor and collect heart rate data, among other information. Wearable devices allow the analysis and interpretation of physiological and activity data obtained from the wearer and can therefore be used to monitor and prevent potential CVDs. However, these data are often provided in a manner that does not allow the gener

SUBMITTER: Staffini A 

PROVIDER: S-EPMC10294855 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature