Topological analysis of hemodynamic response to cardiac resynchronization therapy
Aina Ferr\`a Marc\'us, Carles Casacuberta, Josep Vives, Joan Guich, Gerard Amor\'os-Figueras, Jose M. Guerra

TL;DR
This study applies topological data analysis with the Mapper algorithm and novel indices to compare cardiac pacing effects in a swine model, revealing significant regional differences.
Contribution
It introduces a quantitative topological approach to analyze hemodynamic responses, providing new insights into cardiac resynchronization therapy effects.
Findings
Significant differences in pacing effects across heart regions.
Endocardial stimulation enhances regional contrast.
Topological analysis reveals biologically plausible differences.
Abstract
Objective: The Mapper algorithm is a qualitative method in topological data analysis that constructs graphs from point clouds by combining dimensionality reduction and clustering techniques. The aim of this study is to apply Mapper, together with novel quantitative indices, to compare the effects of biventricular pacing from the left ventricular epicardium versus the endocardium in a swine model of pacing-induced non-ischemic cardiomyopathy. Methods: The distributions of four hemodynamic variables from a previous study on endocardial and epicardial cardiac resynchronization in an experimental swine model of nonischemic cardiomyopathy were analyzed using the Mapper algorithm, enhanced with numerical indices quantifying self-connectivity, scattering, and homogeneity of the resulting colored graphs. Results: Statistically significant differences were observed between pacing from basal…
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