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...
Asıl Yazarlar: | Lyon, A, Ariga, R, Minchole, A, Mahmod, M, Ormondroyd, E, Laguna, P, de Freitas, N, Neubauer, S, Watkins, H, Rodriguez, B |
---|---|
Materyal Türü: | Journal article |
Baskı/Yayın Bilgisi: |
Frontiers Media
2018
|
Benzer Materyaller
-
Risk stratification in hypertrophic cardiomyopathy based on QRS and
T wave morphological biomarkers identifies three phenotypic
subgroups
Yazar:: Lyon, A, ve diğerleri
Baskı/Yayın Bilgisi: (2016) -
The arrhythmic substrate of hypertrophic cardiomyopathy using ECG imaging
Yazar:: Chow, J, ve diğerleri
Baskı/Yayın Bilgisi: (2024) -
The arrhythmic substrate of hypertrophic cardiomyopathy using ECG imaging
Yazar:: Ji-Jian Chow, ve diğerleri
Baskı/Yayın Bilgisi: (2024-08-01) -
Electrocardiogram phenotypes in hypertrophic cardiomyopathy caused by distinct mechanisms: apico-basal repolarization gradients vs. Purkinje-myocardial coupling abnormalities
Yazar:: Lyon, A, ve diğerleri
Baskı/Yayın Bilgisi: (2018) -
Extraction of morphological QRS-based biomarkers in hypertrophic cardiomyopathy for risk stratification using L1 regularized logistic regression
Yazar:: Lyon, A, ve diğerleri
Baskı/Yayın Bilgisi: (2016)