Computerized Analysis of the Ventricular Fibrillation Waveform Allows Identification of Myocardial Infarction: A Proof‐of‐Concept Study for Smart Defibrillator Applications in Cardiac Arrest

Computerized Analysis of the Ventricular Fibrillation Waveform Allows Identification of Myocardial Infarction: A Proof‐of‐Concept Study for Smart Defibrillator Applications in Cardiac Arrest

Background In cardiac arrest, computerized analysis of the ventricular fibrillation (VF) waveform provides prognostic information, while its diagnostic potential is subject of study. Animal studies suggest that VF morphology is affected by prior myocardial infarction (MI), and even more by acute MI....

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Bibliographic Details
Main Authors: Jos Thannhauser, Joris Nas, Dennis J. Rebergen, Sjoerd W. Westra, Joep L. R. M. Smeets, Niels Van Royen, Judith L. Bonnes, Marc A. Brouwer
Format: Article
Language:English
Published: Wiley 2020-10-01
Series:Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
Subjects:
amplitude spectrum area
cardiac arrest
machine learning
myocardial infarction
ventricular fibrillation
Online Access:https://www.ahajournals.org/doi/10.1161/JAHA.120.016727

Internet

https://www.ahajournals.org/doi/10.1161/JAHA.120.016727

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