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Machine learning enables noninvasive prediction of atrial fibrillation driver location and acute pulmonary vein ablation success using the 12-lead ECG

Cardiovascular digital health journal, 2021-04, Vol.2 (2), p.126-136

2021

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Non-Invasive Characterization of Atrial Flutter Mechanisms Using Recurrence Quantification Analysis on the ECG: A Computational Study

IEEE transactions on biomedical engineering, 2021-03, Vol.68 (3), p.914-925

2021

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Space-time recurrences for functional connectivity evaluation and feature extraction in motor imagery brain-computer interfaces

Medical & biological engineering & computing, 2019-08, Vol.57 (8), p.1709-1725

2019

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Hybrid machine learning to localize atrial flutter substrates using the surface 12-lead electrocardiogram

Europace (London, England), 2022-07, Vol.24 (7), p.1186-1194, Article 1186

2022

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Unsupervised Classification of Atrial Electrograms for Electroanatomic Mapping of Human Persistent Atrial Fibrillation

IEEE transactions on biomedical engineering, 2021-04, Vol.68 (4), p.1131-1141

2021

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White Gaussian Chaos

IEEE communications letters, 2017-08, Vol.21 (8), p.1719-1722

2017

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Characterization of human persistent atrial fibrillation electrograms using recurrence quantification analysis

Chaos (Woodbury, N.Y.), 2018-08, Vol.28 (8), p.085710

2018

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Pitfalls in the definition of complex fractionated atrial electrograms for atrial fibrillation studies

Journal of cardiovascular electrophysiology, 2020-01, Vol.31 (1), p.373-374

2020

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Numerical characterization of nonlinear dynamical systems using parallel computing: The role of GPUs approach

Communications in nonlinear science & numerical simulation, 2016-08, Vol.37, p.143-162

2016

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Electroencephalography Patterns and Prognosis in Acute Ischemic Stroke

Cerebrovascular diseases (Basel, Switzerland), 2017-10, Vol.44 (3-4), p.128-134

2017

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Conditional Lyapunov exponents and transfer entropy in coupled bursting neurons under excitation and coupling mismatch

Communications in nonlinear science & numerical simulation, 2018-03, Vol.56, p.419-433

2018

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Do chaos-based communication systems really transmit chaotic signals?

Signal processing, 2015-03, Vol.108, p.412-420

2015

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A method for Lyapunov spectrum estimation using cloned dynamics and its application to the discontinuously-excited FitzHugh–Nagumo model

Nonlinear dynamics, 2012, Vol.67 (1), p.413-424

2012

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Blind extraction of chaotic sources from mixtures with stochastic signals based on recurrence quantification analysis

Digital signal processing, 2011-05, Vol.21 (3), p.417-426

2011

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Chaotic convergence of the decision-directed blind equalization algorithm

Communications in nonlinear science & numerical simulation, 2012-12, Vol.17 (12), p.5097-5109

2012

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Characterization of multiscroll attractors using Lyapunov exponents and Lagrangian coherent structures

Chaos (Woodbury, N.Y.), 2013-06, Vol.23 (2), p.023105-023105

2013

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Recurrence Quantification Analysis for Investigating Atrial Fibrillation Dynamics in a Heterogeneous Simulation Setup

2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019, Vol.2019, p.2277-2280

2019

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Unorganized Machines: From Turing’s Ideas to Modern Connectionist Approaches

International journal of natural computing research, 2011-10, Vol.2 (4), p.1-16

2011

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B-PO05-151 AUTOMATIC CLASSIFICATION OF MACRO-REENTRANT ATRIAL TACHYCARDIA MECHANISMS USING 12-LEAD ECG

Heart rhythm, 2021-08, Vol.18 (8), p.S433-S434

2021

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Comparative analysis of strategies for feature extraction and classification in SSVEP BCIs

Biomedical signal processing and control, 2015-08, Vol.21, p.34-42

2015

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Abstract WMP73: Interictal Epileptiform Discharges and Periodic Patterns After Acute Ischemic Stroke Are Associated With Poor Prognosis

Stroke (1970), 2016-02, Vol.47 (suppl_1)

2016

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Machine Learning to Find Areas of Rotors Sustaining Atrial Fibrillation From the ECG

2020 Computing in Cardiology, 2020, p.1-4

2020

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Optimizing Atrial Electrogram Classification Based on Local Ablation Outcome in Human Atrial Fibrillation

2020 Computing in Cardiology, 2020, p.1-4

2020

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Phase Singularities in a Cardiac Patch Model With a Non-conductive Fibrotic Area During Atrial Fibrillation

2020 Computing in Cardiology, 2020, p.1-4

2020

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Motif Synchronization and Space-Time Recurrences for Biometry from Electroencephalography Data: A Proof-of-Concept

IX Latin American Congress on Biomedical Engineering and XXVIII Brazilian Congress on Biomedical Engineering, p.34-43

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Machine learning enables noninvasive prediction of atrial fibrillation driver location and acute pulmonary vein ablation success using the 12-lead ECG

Non-Invasive Characterization of Atrial Flutter Mechanisms Using Recurrence Quantification Analysis on the ECG: A Computational Study

Space-time recurrences for functional connectivity evaluation and feature extraction in motor imagery brain-computer interfaces

Hybrid machine learning to localize atrial flutter substrates using the surface 12-lead electrocardiogram

Unsupervised Classification of Atrial Electrograms for Electroanatomic Mapping of Human Persistent Atrial Fibrillation

White Gaussian Chaos

Characterization of human persistent atrial fibrillation electrograms using recurrence quantification analysis

Pitfalls in the definition of complex fractionated atrial electrograms for atrial fibrillation studies

Numerical characterization of nonlinear dynamical systems using parallel computing: The role of GPUs approach

Electroencephalography Patterns and Prognosis in Acute Ischemic Stroke

Conditional Lyapunov exponents and transfer entropy in coupled bursting neurons under excitation and coupling mismatch

Do chaos-based communication systems really transmit chaotic signals?

A method for Lyapunov spectrum estimation using cloned dynamics and its application to the discontinuously-excited FitzHugh–Nagumo model

Blind extraction of chaotic sources from mixtures with stochastic signals based on recurrence quantification analysis

Chaotic convergence of the decision-directed blind equalization algorithm

Characterization of multiscroll attractors using Lyapunov exponents and Lagrangian coherent structures

Recurrence Quantification Analysis for Investigating Atrial Fibrillation Dynamics in a Heterogeneous Simulation Setup

Unorganized Machines: From Turing’s Ideas to Modern Connectionist Approaches

B-PO05-151 AUTOMATIC CLASSIFICATION OF MACRO-REENTRANT ATRIAL TACHYCARDIA MECHANISMS USING 12-LEAD ECG

Comparative analysis of strategies for feature extraction and classification in SSVEP BCIs

Abstract WMP73: Interictal Epileptiform Discharges and Periodic Patterns After Acute Ischemic Stroke Are Associated With Poor Prognosis

Machine Learning to Find Areas of Rotors Sustaining Atrial Fibrillation From the ECG

Optimizing Atrial Electrogram Classification Based on Local Ablation Outcome in Human Atrial Fibrillation

Phase Singularities in a Cardiac Patch Model With a Non-conductive Fibrotic Area During Atrial Fibrillation

Motif Synchronization and Space-Time Recurrences for Biometry from Electroencephalography Data: A Proof-of-Concept

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