Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Van Zaen, Jérôme"'
Autor:
Gaudilliere, Pierre Louis, Sigurthorsdottir, Halla, Aguet, Clémentine, Van Zaen, Jérôme, Lemay, Mathieu, Delgado-Gonzalo, Ricard
ECG heartbeat classification plays a vital role in diagnosis of cardiac arrhythmia. The goal of the Physionet/CinC 2021 challenge was to accurately classify clinical diagnosis based on 12, 6, 4, 3 or 2-lead ECG recordings in order to aid doctors in t
Externí odkaz:
http://arxiv.org/abs/2110.04071
Publikováno v:
BIOSTEC 2019. Communications in Computer and Information Science, vol 1211 (2020)
Except for a few specific types, cardiac arrhythmias are not immediately life-threatening. However, if not treated appropriately, they can cause serious complications. In particular, atrial fibrillation, which is characterized by fast and irregular h
Externí odkaz:
http://arxiv.org/abs/2010.03204
We developed a convolutional recurrent neural network to classify 12-lead ECG signals for the challenge of PhysioNet/ Computing in Cardiology 2020 as team Pink Irish Hat. The model combines convolutional and recurrent layers, takes sliding windows of
Externí odkaz:
http://arxiv.org/abs/2009.13320
Autor:
Van Zaen, Jérôme, Chételat, Olivier, Lemay, Mathieu, Calvo, Enric M., Delgado-Gonzalo, Ricard
While most heart arrhythmias are not immediately harmful, they can lead to severe complications. In particular, atrial fibrillation, the most common arrhythmia, is characterized by fast and irregular heart beats and increases the risk of suffering a
Externí odkaz:
http://arxiv.org/abs/1907.01513
Publikováno v:
Proceedings of the 6th Swiss Data Science Conference (SDS2019)
The rapidly-advancing technology of deep learning (DL) into the world of the Internet of Things (IoT) has not fully entered in the fields of m-Health yet. Among the main reasons are the high computational demands of DL algorithms and the inherent res
Externí odkaz:
http://arxiv.org/abs/1906.09905
Autor:
Chin, Sanghoon1 (AUTHOR) jerome.vanzaen@csem.ch, Van Zaen, Jérôme1 (AUTHOR) severine.denis@csem.ch, Denis, Séverine1 (AUTHOR) enric.muntanecalvo@csem.ch, Muntané, Enric1 (AUTHOR) laurent.balet@csem.ch, Schröder, Stephan2 (AUTHOR) stephan.schroder@senseair.com, Martin, Hans2 (AUTHOR) hans.martin@senseair.com, Balet, Laurent1 (AUTHOR) steve.lecomte@csem.ch, Lecomte, Steve1 (AUTHOR)
Publikováno v:
Sensors (14248220). Oct2023, Vol. 23 Issue 19, p8232. 9p.
Autor:
Buttu, Andréa, Vesin, Jean-Marc, Van Zaen, Jérôme, Ballabeni, Pierluigi, Pascale, Patrizio, Forclaz, Andrei, Bisch, Laurence, Rollin, Anne, Maury, Philippe, Roten, Laurent, Pruvot, Etienne
Publikováno v:
In JACC: Clinical Electrophysiology November 2016 2(6):746-755
Akademický článek
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Autor:
Buttu, Andréa, Pruvot, Etienne, Van Zaen, Jérôme, Viso, Alain, Forclaz, Andrei, Pascale, Patrizio, Narayan, Sanjiv M., Vesin, Jean-Marc
Publikováno v:
In Biomedical Signal Processing and Control November 2013 8(6):969-980
Autor:
Degache, Francis1 francis.degache@hesav.ch, Van Zaen, Jérôme2, Oehen, Lukas3, Guex, Kenny4, Trabucchi, Pietro5, Millet, Gégoire3
Publikováno v:
PLoS ONE. Jan2014, Vol. 9 Issue 1, p1-12. 12p.