Miguel Rodrigo
Orcid: 0000-0001-7960-3960
According to our database1,
Miguel Rodrigo
authored at least 46 papers
between 2011 and 2023.
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Bibliography
2023
Patient Stratification Based on Fast Simulation of Cardiac Electrophysiology on Digital Twins.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2023
Proceedings of the Functional Imaging and Modeling of the Heart, 2023
Assessment of Risk for Ventricular Tachycardia based on Extensive Electrophysiology Simulations.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Characterization of the Electrophysiological Characteristics of Chronic Atrial Fibrillation for Efficient Simulations.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Substrate-Specific Simulations of Atrial Fibrillation Reproducing Electrophysiological Clinical Markers.
Proceedings of the Computing in Cardiology, 2023
Evaluation of Automata-Based Simulations for Atrial Fibrillation in 2D/3D Geometries Reproducing Disease Progression.
Proceedings of the Computing in Cardiology, 2023
Role of Heterogeneous Ionic Profiles in Atrial Fibrillation Propagation. A Population of Models Study.
Proceedings of the Computing in Cardiology, 2023
Proceedings of the Computing in Cardiology, 2023
2022
Atrial fibrillation signatures on intracardiac electrograms identified by deep learning.
Comput. Biol. Medicine, 2022
Identification of atrial fibrillation drivers by means of concentric ring electrodes.
Comput. Biol. Medicine, 2022
The Effects of Long- and Short-term Memory on Action Potential Duration for Atrial Cellular Automata.
Proceedings of the Computing in Cardiology, 2022
Machine Learning Based Cell Model for Fast Approximation of Cellular Action Potential to Enable Clinical Translation.
Proceedings of the Computing in Cardiology, 2022
2021
Electrocardiographic imaging including intracardiac information to achieve accurate global mapping during atrial fibrillation.
Biomed. Signal Process. Control., 2021
Simplified Electrophysiology Modeling Framework to Assess Ventricular Arrhythmia Risk in Infarcted Patients.
Proceedings of the Functional Imaging and Modeling of the Heart, 2021
Intra-cardiac Signatures of Atrial Arrhythmias Identified by Machine Learning and Traditional Features.
Proceedings of the Functional Imaging and Modeling of the Heart, 2021
Arrhythmic3D: a fast automata-based tool to simulate and assess arrhythmia risk in 3D ventricular models.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
Non-invasive Mechanism Classification and Localization in Supraventricular Cardiac Arrhythmias.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
Multiple Cardiac Disease Detection from Minimal-Lead ECG Combining Feedforward Neural Networks with a One-vs-Rest Approach.
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
Atrial location optimization by electrical measures for Electrocardiographic Imaging.
Comput. Biol. Medicine, 2020
Automatic quality electrogram assessment improves phase-based reentrant activity identification in atrial fibrillation.
Comput. Biol. Medicine, 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
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
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
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
Performance of Inverse Problem Regularization Methods for Driver Location during Atrial Fibrillation.
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
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
Body Surface Potential Propagation Maps During Macroreentrant Atrial Arrhythmias. A Simulation Study.
Proceedings of the Computing in Cardiology, 2013
2011
Classification of resting, anticipation and movement states in self-initiated arm movements for EEG brain computer interfaces.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011