Diogo C. Soriano
Orcid: 0000-0002-9804-7477Affiliations:
- Federal University of ABC, Department of Engineering, Santo Andre, Brazil
- University of Campinas, SP, Brazil (PhD 2011)
According to our database1,
Diogo C. Soriano
authored at least 22 papers
between 2009 and 2021.
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Bibliography
2021
Non-Invasive Characterization of Atrial Flutter Mechanisms Using Recurrence Quantification Analysis on the ECG: A Computational Study.
IEEE Trans. Biomed. Eng., 2021
Unsupervised Classification of Atrial Electrograms for Electroanatomic Mapping of Human Persistent Atrial Fibrillation.
IEEE Trans. Biomed. Eng., 2021
Can Dynamic Functional Connectivity Be Used to Distinguish Between Resting-State and Motor Imagery in EEG-BCIs?
Proceedings of the Complex Networks & Their Applications X - Volume 2, Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021, Madrid, Spain, November 30, 2021
2020
Machine Learning to Find Areas of Rotors Sustaining Atrial Fibrillation From the ECG.
Proceedings of the Computing in Cardiology, 2020
Optimizing Atrial Electrogram Classification Based on Local Ablation Outcome in Human Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2020
Phase Singularities in a Cardiac Patch Model With a Non-conductive Fibrotic Area During Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2020
2019
Space-time recurrences for functional connectivity evaluation and feature extraction in motor imagery brain-computer interfaces.
Medical Biol. Eng. Comput., 2019
Recurrence Quantification Analysis for Investigating Atrial Fibrillation Dynamics in a Heterogeneous Simulation Setup.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
Conditional Lyapunov exponents and transfer entropy in coupled bursting neurons under excitation and coupling mismatch.
Commun. Nonlinear Sci. Numer. Simul., 2018
Unsupervised k-Mean Classification of Atrial Electrograms From Human Persistent Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2018
2017
Deterministic Structures in Fractionated Atrial Electrograms During Human Persistent Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2017
2016
Numerical characterization of nonlinear dynamical systems using parallel computing: The role of GPUs approach.
Commun. Nonlinear Sci. Numer. Simul., 2016
2015
Signal Process., 2015
Comparative analysis of strategies for feature extraction and classification in SSVEP BCIs.
Biomed. Signal Process. Control., 2015
Effect of the combination of different numbers of flickering frequencies in an SSVEP-BCI for healthy volunteers and stroke patients.
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015
2012
Searching for Specific periodic and Chaotic oscillations in a periodically-excited Hodgkin-Huxley Model.
Int. J. Bifurc. Chaos, 2012
Performance analysis of nonlinear echo state network readouts in signal processing tasks.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
2011
Int. J. Nat. Comput. Res., 2011
Blind extraction of chaotic sources from mixtures with stochastic signals based on recurrence quantification analysis.
Digit. Signal Process., 2011
Proceedings of the IEEE Symposium on Computational Intelligence in Control and Automation, 2011
2009
Blind Extraction of Chaotic Sources from White Gaussian Noise Based on a Measure of Determinism.
Proceedings of the Independent Component Analysis and Signal Separation, 2009