María S. Guillem

Affiliations:
  • Technical University of Valencia, Spain


According to our database1, María S. Guillem authored at least 59 papers between 2006 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Online presence:

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Bibliography

2022
Identification of atrial fibrillation drivers by means of concentric ring electrodes.
Comput. Biol. Medicine, 2022

2021
Higher reproducibility of phase derived metrics from electrocardiographic imaging during atrial fibrillation in patients remaining in sinus rhythm after pulmonary vein isolation.
Comput. Biol. Medicine, 2021

Electrocardiographic imaging including intracardiac information to achieve accurate global mapping during atrial fibrillation.
Biomed. Signal Process. Control., 2021

Non-invasive Mechanism Classification and Localization in Supraventricular Cardiac Arrhythmias.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

Electrocardiographic Imaging in Atrial Fibrillation: Selection of the Optimal Tikhonov-Regularization Parameter.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

ECGI Periodicity Unraveled: A Deep Learning Approach for the Visualization of Periodic Spatiotemporal Patterns in Atrial Fibrillation Patients.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

Detection of Atrial Fibrillation Driver Locations Using CNN and Body Surface Potentials.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020
Characterization of atrial arrhythmias in body surface potential mapping: A computational study.
Comput. Biol. Medicine, 2020

Automatic quality electrogram assessment improves phase-based reentrant activity identification in atrial fibrillation.
Comput. Biol. Medicine, 2020

Post-Processing of Electrocardiographic Imaging Signals to Identify Atrial Fibrillation Drivers.
Proceedings of the Computing in Cardiology, 2020

Classification and Location of Atrial Arrhythmic Mechanisms With Body Surface Potential Mapping.
Proceedings of the Computing in Cardiology, 2020

A Wavelet-Based Method for Non-Invasive Dominant Frequency Detection in Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2020

ECGi Metrics in Atrial Fibrillation Dependency on Epicardium Segmentation.
Proceedings of the Computing in Cardiology, 2020

Atrial Fibrillation Driver Localization From Body Surface Potentials Using Deep Learning.
Proceedings of the Computing in Cardiology, 2020

2019
Phase singularity point tracking for the identification of typical and atypical flutter patients: A clinical-computational study.
Comput. Biol. Medicine, 2019

Non-Invasive Electrophysiological Mapping Entropy Predicts Atrial Fibrillation Ablation Efficacy Better Than Clinical Characteristics.
Proceedings of the 46th Computing in Cardiology, 2019

Effects of Geometry in Atrial Fibrillation Markers Obtained With Electrocardiographic Imaging.
Proceedings of the 46th Computing in Cardiology, 2019

Effect of Reducing the Number of Leads from Body Surface Potential Mapping in Computer Models of Atrial Arrhythmias.
Proceedings of the 46th Computing in Cardiology, 2019

Non-Invasive Characterization of Atrial Arrhythmic Driving Mechanisms in Computer Models.
Proceedings of the 46th Computing in Cardiology, 2019

Automatic Quality Electrogram Assessment Improves Reentrant Activity Identification in Atrial Fibrillation.
Proceedings of the 46th Computing in Cardiology, 2019

Temporal Stability of Dominant Frequency as Predictor of Atrial Fibrillation Recurrence.
Proceedings of the 46th Computing in Cardiology, 2019

2018
Solving Inaccuracies in Anatomical Models for Electrocardiographic Inverse Problem Resolution by Maximizing Reconstruction Quality.
IEEE Trans. Medical Imaging, 2018

In Silico Safety Pharmacology on Intersubject Variability Population of Models: A Regression Model Approach.
Proceedings of the Computing in Cardiology, 2018

2017
Including a Priori Knowledge in the Solution of the Inverse Problem During Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2017

Persistent Atrial Fibrillation Hierarchical Activation: from Highest DF Sites to Wave Fractionation at the Boundaries.
Proceedings of the Computing in Cardiology, 2017

Solving Inaccuracies in the Heart Position and Orientation for Inverse Solution by Using Electrical Information.
Proceedings of the Computing in Cardiology, 2017

Personalization of Atrial Fibrillation Antiarrhythmic Drug Treatments: a Population of Models Approach.
Proceedings of the Computing in Cardiology, 2017

Overcoming Barriers to Quantification and Comparison of Electrocardiographic Imaging Methods: a Community-Based Approach.
Proceedings of the Computing in Cardiology, 2017

Ranolazine Attenuates Stretch-induced Modifications of Electrophysiological Characteristics in HL-1 Cells.
Proceedings of the Computing in Cardiology, 2017

Electrophysiological Parameters in the Electrical Propagation During Atrial Fibrillation: a Population of Models Study.
Proceedings of the Computing in Cardiology, 2017

Evaluation of Inverse Problem with Slow-Conducting Channel in Scar Area in a Post-Infarction Model.
Proceedings of the Computing in Cardiology, 2017

2016
Noninvasive Identification of Atrial Fibrillation Drivers: Simulation and Patient Data Evaluation.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

Highest Dominant Frequency and Rotor Sites are Robust Markers for Atrial Driver Location in Non-invasive Mapping of Atrial Fibrillation.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

Analysis of the Clinical Utility of Algorithms in the 2009 PhysioNet/Computing in Cardiology Challenge for the Prediction of Acute Hypotensive Episodes.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

Mechanism behind Hyperkalemic Brugada Phenocopy: A Computational Study.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

Role of Substrate Flexibility on Cardiac Cell Culture Electrophysiological Properties.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

Performance of Inverse Problem Regularization Methods for Driver Location during Atrial Fibrillation.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

The Consortium on Electrocardiographic Imaging.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

High Resolution Microscopic Optical Mapping of Anatomical and Functional Reentries in Human Cardiac Cell Cultures.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

Automated Classification of Normal and Abnormal Heart Sounds using Support Vector Machines.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

2015
Atrial sources identification by causality analysis during atrial fibrillation.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Drifting Rotors Prevalence Is Associated with Dominant Frequency Reduction after Persistent Atrial Fibrillation Ablation.
Proceedings of the Computing in Cardiology, 2015

2014
Adaptive step ODE algorithms for the 3D simulation of electric heart activity with graphics processing units.
Comput. Biol. Medicine, 2014

Non-invasive Detection of Reentrant Drivers during Atrial Fibrillation: a Clinical-Computational Study.
Proceedings of the Computing in Cardiology, CinC 2014, 2014

Accuracy of Inverse Solution Computation of Dominant Frequencies and Phases during Atrial Fibrillation.
Proceedings of the Computing in Cardiology, CinC 2014, 2014

2013
Identification of Ablation Sites in Atrial Flutter by Causal Method.
Proceedings of the Computing in Cardiology, 2013

Non-invasive Location of Re-entrant Propagation Patterns during Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2013

Accuracy of Non-invasive Frequency Estimation during Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2013

Body Surface Potential Propagation Maps During Macroreentrant Atrial Arrhythmias. A Simulation Study.
Proceedings of the Computing in Cardiology, 2013

Computational Simulation and Analysis of 3D Body Surface Potential Patterns Generated by Common Atrial Arrhythmias.
Proceedings of the Computing in Cardiology, 2013

2011
Generation of realistic atrial to atrial interval series during atrial fibrillation.
Medical Biol. Eng. Comput., 2011

Characteristics of inverse-computed epicardial electrograms of Brugada syndrome patients.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Characterization of typical and atypical atrial flutter loops from the vectorcardiogram.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Topographic imaging of the atrial electrical activity during atrial fibrillation for the analysis of uniform distributions of the surface electrical potentials.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010
Noninvasive Assessment of the Complexity and Stationarity of the Atrial Wavefront Patterns During Atrial Fibrillation.
IEEE Trans. Biomed. Eng., 2010

2009
How Many Leads Are Necessary for a Reliable Reconstruction of Surface Potentials During Atrial Fibrillation?
IEEE Trans. Inf. Technol. Biomed., 2009

Poincaré Surface Profiles of RR Intervals: A Novel Noninvasive Method for the Evaluation of Preferential AV Nodal Conduction During Atrial Fibrillation.
IEEE Trans. Biomed. Eng., 2009

2006
Independent Component Analysis of Body Surface Potential Mapping Recordings with Atrial Fibrillation.
Proceedings of the International Joint Conference on Neural Networks, 2006

Optimal Localization of Leads in Atrial Fibrillation Episodes.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006


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