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Catalina Tobón

Researcher at Polytechnic University of Valencia

Publications -  62
Citations -  553

Catalina Tobón is an academic researcher from Polytechnic University of Valencia. The author has contributed to research in topics: Atrial fibrillation & Approximate entropy. The author has an hindex of 10, co-authored 59 publications receiving 454 citations. Previous affiliations of Catalina Tobón include Pontifical Bolivarian University.

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Book ChapterDOI

Modeling atrial fiber orientation in patient-specific geometries: a semi-automatic rule-based approach

TL;DR: A novel robust semi-automatic method to incorporate atrial anisotropy and heterogeneities into patient-specific models is introduced, an important step towards creating realistic patient- specific atrial models for clinical applications.
Journal ArticleDOI

A Three-Dimensional Human Atrial Model with Fiber Orientation. Electrograms and Arrhythmic Activation Patterns Relationship

TL;DR: The model is the first human atrial model with realistic fiber orientation used to investigate the relationship between different atrial arrhythmic propagation patterns and the electrograms observed at more than 43000 points on the atrial surface.
Journal ArticleDOI

Dynamic Approximate Entropy Electroanatomic Maps Detect Rotors in a Simulated Atrial Fibrillation Model

TL;DR: The results suggest that high approximate entropy values are able to detect a high level of fractionation and to locate rotor tips in simulated atrial fibrillation episodes, and suggest that dynamic approximate entropy maps could become a tool for atrialfibrillation rotor mapping.
Journal ArticleDOI

The relative role of refractoriness and source-sink relationship in reentry generation during simulated acute ischemia.

TL;DR: The mismatch of the source–sink relationship, rather than solely refractoriness, was the ultimate cause of the UDB leading to reentry, and the SF represents a very powerful tool to study the mechanisms responsible for reentry.
Journal ArticleDOI

Dominant frequency and organization index maps in a realistic three-dimensional computational model of atrial fibrillation.

TL;DR: In this article, the spectral characteristics of different patterns of atrial fibrillation (AF) at high spatial resolution have been studied using simulation, using a realistic 3D model of the human atria.