Distinct ECG Phenotypes Identified in Hypertrophic Cardiomyopathy Using Machine Learning Associate With Arrhythmic Risk Markers

Distinct ECG Phenotypes Identified in Hypertrophic Cardiomyopathy Using Machine Learning Associate With Arrhythmic Risk Markers

Aims: Ventricular arrhythmia triggers sudden cardiac death (SCD) in hypertrophic cardiomyopathy (HCM), yet electrophysiological biomarkers are not used for risk stratification. Our aim was to identify distinct HCM phenotypes based on ECG computational analysis, and characterize differences in clinic...

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Bibliographic Details
Main Authors: Aurore Lyon, Rina Ariga, Ana Mincholé, Masliza Mahmod, Elizabeth Ormondroyd, Pablo Laguna, Nando de Freitas, Stefan Neubauer, Hugh Watkins, Blanca Rodriguez
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-03-01
Series:Frontiers in Physiology
Subjects:
hypertrophic cardiomyopathy
electrocardiography
e-cardiology
phenotyping
computational clustering
Online Access:http://journal.frontiersin.org/article/10.3389/fphys.2018.00213/full

Internet

http://journal.frontiersin.org/article/10.3389/fphys.2018.00213/full

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