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

<p>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...

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Détails bibliographiques
Auteurs principaux:	Lyon, A, Ariga, R, Minchole, A, Mahmod, M, Ormondroyd, E, Laguna, P, de Freitas, N, Neubauer, S, Watkins, H, Rodriguez, B
Format:	Journal article
Publié:	Frontiers Media 2018

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