Publications
All Publications, sorted by years
Selected Publications
Journal Articles (1)
G. Luongo, S. Schuler, A. Luik, T. P. Almeida, D. C. Soriano, O. Dossel, and A. Loewe.
Non-Invasive Characterization of Atrial Flutter Mechanisms Using Recurrence Quantification Analysis on the ECG: A Computational Study.
In IEEE Transactions on Biomedical Engineering, vol. 68(3) , pp. 914-925, 2021
Non-Invasive Characterization of Atrial Flutter Mechanisms Using Recurrence Quantification Analysis on the ECG: A Computational Study.
In IEEE Transactions on Biomedical Engineering, vol. 68(3) , pp. 914-925, 2021
Conference Contributions (8)
G. Luongo, S. Schuler, M. W. Rivolta, O. Dössel, R. Sassi, and A. Loewe.
Automatic classification of 20 different types of atrial tachycardia using 12-lead ECG signals.
In EP Europace, vol. 22(Supplement_1) , 2020
Automatic classification of 20 different types of atrial tachycardia using 12-lead ECG signals.
In EP Europace, vol. 22(Supplement_1) , 2020
G. Luongo, S. Schuler, M. W. Rivolta, O. Dössel, R. Sassi, and A. Loewe.
Automatic ECG-based Discrimination of 20 Atrial Flutter Mechanisms: Influence of Atrial and Torso Geometries.
In Computing in Cardiology Conference (CinC), 2020
Automatic ECG-based Discrimination of 20 Atrial Flutter Mechanisms: Influence of Atrial and Torso Geometries.
In Computing in Cardiology Conference (CinC), 2020
G. Luongo, L. Azzolin, M. W. Rivolta, R. Sassi, J. P. Martinez, P. Laguna, O. Doessel, and A. Loewe.
Non-invasive identification of atrial fibrillation driver location using the 12-lead ECG: pulmonary vein rotors vs. other locations.
In EMBC 20, 2020
Non-invasive identification of atrial fibrillation driver location using the 12-lead ECG: pulmonary vein rotors vs. other locations.
In EMBC 20, 2020
G. Luongo, L. Azzolin, M. W. Rivolta, T. P. Almeida, J. P. Martinez, D. C. Soriano, O. Dössel, R. Sassi, P. Laguna, and A. Loewe.
Machine Learning to Find Areas of Rotors Sustaining Atrial Fibrillation From the ECG.
In Computing in Cardiology Conference (CinC), 2020
Machine Learning to Find Areas of Rotors Sustaining Atrial Fibrillation From the ECG.
In Computing in Cardiology Conference (CinC), 2020
G. Luongo, S. Schuler, T. P. Almeida, D. C. Soriano, O. Dössel, and A. Loewe.
Discrimination of Atrial Flutter on Simulated 12-Lead-ECG Signals by Applying Biosignal Processing.
In Gordon Research Conference - Cardiac Arrhythmia Mechanisms, 2019
Discrimination of Atrial Flutter on Simulated 12-Lead-ECG Signals by Applying Biosignal Processing.
In Gordon Research Conference - Cardiac Arrhythmia Mechanisms, 2019
G. Luongo, S. Schuler, O. Dössel, and A. Loewe.
12-Lead ECG Feature Identification to Discriminate Different Types of Atrial Flutter.
In 41 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019
12-Lead ECG Feature Identification to Discriminate Different Types of Atrial Flutter.
In 41 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019
L. Azzolin, G. Luongo, S. Rocher, J. Saiz, O. Doessel, and A. Loewe.
Influence of Gradient and Smoothness of Atrial Wall Thickness on Initiation and Maintenance of Atrial Fibrillation.
In Computing in Cardiology Conference (CinC), 2020
Influence of Gradient and Smoothness of Atrial Wall Thickness on Initiation and Maintenance of Atrial Fibrillation.
In Computing in Cardiology Conference (CinC), 2020
A. S. Bezerra, T. Yoneyama, D. C. Soriano, G. Luongo, X. Li, F. Ravelli, M. Mase, G. S. Chu, P. J. Stafford, F. S. Schlindwein, G. A. Ng, and T. P. Almeida.
Optimazing Atrial Electrogram Classification Based on Local Ablation Outcome in Human Atrial Fibrillation.
In Computing in Cardiology Conference (CinC), 2020
Optimazing Atrial Electrogram Classification Based on Local Ablation Outcome in Human Atrial Fibrillation.
In Computing in Cardiology Conference (CinC), 2020