Miguel Rodrigo

According to our database1, Miguel Rodrigo authored at least 36 papers between 2011 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

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

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
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

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

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


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