Abnormal Rhythm Detection from Single-lead ECG

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dc.contributor.authorVan Zaen, Jérôme
dc.contributor.authorBonnier, Guillaume
dc.contributor.authorParak, Jakub
dc.contributor.authorSalonen, Mikko
dc.contributor.authorProust, Yara-Maria
dc.contributor.authorMarques, Luisa
dc.contributor.authorLemkaddem, Alia
dc.contributor.authorPellaton, Cyril
dc.contributor.authorLemay, Mathieu
dc.date.accessioned2025-11-11T15:37:39Z
dc.date.available2025-11-11T15:37:39Z
dc.date.issued2023
dc.description.abstractCardiac 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.
dc.identifier.citationCSEM Scientific and Technical Report 2023, p. 47
dc.identifier.urihttps://hdl.handle.net/20.500.12839/1786
dc.titleAbnormal Rhythm Detection from Single-lead ECG
dc.typeCSEM Report
dc.type.csemdivisionsBU-D
dc.type.csemresearchareasDigital Health
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