María S. Guillem
Orcid: 0000-0001-5660-3693Affiliations:
- Technical University of Valencia, Spain
According to our database1,
María S. Guillem
authored at least 79 papers
between 2006 and 2024.
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Bibliography
2024
Comput. Biol. Medicine, January, 2024
Non-invasive estimation of atrial fibrillation driver position using long-short term memory neural networks and body surface potentials.
Comput. Methods Programs Biomed., 2024
Improving electrocardiographic imaging solutions: A comprehensive study on regularization parameter selection in L-curve optimization in the Atria.
Comput. Biol. Medicine, 2024
2023
Filtering strategies of electrocardiographic imaging signals for stratification of atrial fibrillation patients.
Biomed. Signal Process. Control., March, 2023
Automated Generation of Purkinje Networks in the Human Heart Considering the Anatomical Variability.
Proceedings of the Functional Imaging and Modeling of the Heart, 2023
Inflammation-Induced Remodeling and Atrial Arrhythmias in Systemic Lupus Erythematosus: In Silico Insights.
Proceedings of the Computing in Cardiology, 2023
Proceedings of the Computing in Cardiology, 2023
Proceedings of the Computing in Cardiology, 2023
2022
Atrial fibrosis identification with unipolar electrogram eigenvalue distribution analysis in multi-electrode arrays.
Medical Biol. Eng. Comput., 2022
Identification of atrial fibrillation drivers by means of concentric ring electrodes.
Comput. Biol. Medicine, 2022
Validation of a Novel Imageless Non-Invasive Electrocardiographic Imaging for the Characterization of Atrial Tachycardias.
Proceedings of the Computing in Cardiology, 2022
Validation of a Customized Method for Estimating Electrical Potentials in the Torso From Atrial Signals: a Computational-Clinical Study.
Proceedings of the Computing in Cardiology, 2022
Impact of Noise on Electrocardiographic Imaging Resolution with Zero Order Tikhonov Regularization and L-Curve Optimization.
Proceedings of the Computing in Cardiology, 2022
Analysis of Atrial Fibrillation Dynamics in Body Surface Potential Maps and Electrocardiographic Imaging.
Proceedings of the Computing in Cardiology, 2022
Effect of Torso Mesh Density on Electrocardiographic Imaging Resolution from Atrial Fibrillation Simulations.
Proceedings of the Computing in Cardiology, 2022
Tailoring Process for the Regional Personalization of Atrial Fibrillation with a Novel Cardiac Model.
Proceedings of the Computing in Cardiology, 2022
Local Conduction Velocity Estimation During Wavefront Collisions and Reentrant Scenarios.
Proceedings of the Computing in Cardiology, 2022
Non-Invasive Atrial Fibrillation Driver Localization Using Recurrent Neural Networks and Body Surface Potentials.
Proceedings of the Computing in Cardiology, 2022
Proceedings of the Computing in Cardiology, 2022
Personalized Modeling of Atrial Activation and P-waves: a Comparison Between Invasive and Non-invasive Cardiac Mapping.
Proceedings of the Computing in Cardiology, 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
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
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
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
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
Proceedings of the Computing in Cardiology, 2013
Proceedings of the Computing in Cardiology, 2013
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
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
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006