Non-invasive assessment of spatiotemporal organization of ventricular fibrillation through principal component analysis


Introduction Ventricular fibrillation (VF) is the main cause of sudden cardiac death, but we lack tools to predict the evolution of its complexity. This study proposes novel VF complexity markers obtained by principal component analysis (PCA) of body surface potential maps (BSPMs). Methods BSPMs were divided in 0.5-s segments, each projected on the 3D PCA… (More)

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