An annotated ventricular tachycardia (VT) alarm database: Toward a uniform standard for optimizing automated VT identification in hospitalized patients.

Michele M PelterMary G CareySalah S Al-ZaitiJessica Zegre-HemseyClaire SommargrenLamberto IsolaPriya PrasadDavid MortaraFabio Badilini

Published in: Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc (2023)

The database described here represents the single largest human-annotated database to date. The database includes consecutive ICU patients, with true, false, and challenging VTs (unresolved) and could serve as a gold standard database to develop and test new VT algorithms.

Keyphrases

adverse drug
machine learning
endothelial cells
deep learning
mechanical ventilation
pluripotent stem cells