Abnormal Rhythm Detection from Single-lead ECG
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Author
Van Zaen, Jérôme
Bonnier, Guillaume
Parak, Jakub
Salonen, Mikko
Proust, Yara-Maria
Marques, Luisa
Lemkaddem, Alia
Pellaton, Cyril
Lemay, Mathieu
DOI
Abstract
Cardiac arrhythmias affect millions of individuals worldwide and can lead to severe complications such as stroke or heart failure. Due to their transient nature, they can be difficult to diagnose with ambulatory electrocardiogram monitors. A system for long-term arrhythmia monitoring is proposed. It measures single-lead electrocardiogram and tri-axis acceleration signals. This system is composed of a beat detector to extract interbeat intervals and a classifier to detect arrhythmias.
Publication Reference
CSEM Scientific and Technical Report 2023, p. 47
Year
2023