IBT Publications by Martínez


Journal Articles (4)

O. Berenfeld, V. D. A. Corino, A. Loewe, J. P. Martínez, and J. F. Rodriguez Matas.
Editorial: Atrial Fibrillation: Technology for Diagnosis, Monitoring, and Treatment.
In Frontiers in Physiology, vol. 13, 2022
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G. Luongo, L. Azzolin, S. Schuler, M. W. Rivolta, T. P. Almeida, J. P. Martínez, D. C. Soriano, A. Luik, B. Müller-Edenborn, A. Jadidi, O. Dössel, R. Sassi, P. Laguna, and A. Loewe.
Machine learning enables noninvasive prediction of atrial fibrillation driver location and acute pulmonary vein ablation success using the 12-lead ECG.
In Cardiovascular Digital Health Journal, vol. 2(2) , pp. 126-136, 2021
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N. M. S. de Groot, D. Shah, P. M. Boyle, E. Anter, G. D. Clifford, I. Deisenhofer, T. Deneke, P. van Dessel, O. Doessel, P. Dilaveris, F. R. Heinzel, S. Kapa, P. D. Lambiase, J. Lumens, P. G. Platonov, T. Ngarmukos, J. P. Martinez, A. O. Sanchez, Y. Takahashi, B. P. Valdigem, A.-J. van der Veen, K. Vernooy, R. Casado-Arroyo (co-chair), T. De Potter, B. Dinov, J. Kosiuk, D. Linz, L. Neubeck, E. Svennberg, Y.-H. Kim, E. Wan, N. Lopez-Cabanillas, E. T. Locati, and P. Macfarlane.
Critical appraisal of technologies to assess electrical activity during atrial fibrillation: a position paper from the European Heart Rhythm Association and European Society of Cardiology Working Group on eCardiology in collaboration with the Heart Rhythm Society, Asia Pacific Heart Rhythm Society, Latin American Heart Rhythm Society and Computing in Cardiology.
In EP Europace, 2021
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J. Ramirez, V. Monasterio, A. Minchole, M. Llamedo, G. Lenis, I. Cygankiewicz, A. Bayes de Luna, M. Malik, J. P. Martinez, P. Laguna, and E. Pueyo.
Automatic SVM classification of sudden cardiac death and pump failure death from autonomic and repolarization ECG markers.
In Journal of Electrocardiology, vol. 48(4) , pp. 551-557, 2015
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Conference Contributions (2)

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
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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, 2020
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