Zobrazeno 1 - 10 of 13 pro vyhledávání: '"Èric Lluch"'
1
Akademický článek
Extrapolation of Ventricular Activation Times From Sparse Electroanatomical Data Using Graph Convolutional Neural Networks
Autor: Felix Meister, Tiziano Passerini, Chloé Audigier, Èric Lluch, Viorel Mihalef, Hiroshi Ashikaga, Andreas Maier, Henry Halperin, Tommaso Mansi
Publikováno v: Frontiers in Physiology, Vol 12 (2021)
Electroanatomic mapping is the gold standard for the assessment of ventricular tachycardia. Acquiring high resolution electroanatomic maps is technically challenging and may require interpolation methods to obtain dense measurements. These methods, h
Externí odkaz: https://doaj.org/article/5f22a9bca3bb42c1a1fd93b099b8f37e
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2
Akademický článek
Meshless Electrophysiological Modeling of Cardiac Resynchronization Therapy—Benchmark Analysis with Finite-Element Methods in Experimental Data
Autor: Carlos Albors, Èric Lluch, Juan Francisco Gomez, Nicolas Cedilnik, Konstantinos A. Mountris, Tommaso Mansi, Svyatoslav Khamzin, Arsenii Dokuchaev, Olga Solovyova, Esther Pueyo, Maxime Sermesant, Rafael Sebastian, Hernán G. Morales, Oscar Camara
Publikováno v: Applied Sciences, Vol 12, Iss 13, p 6438 (2022)
Computational models of cardiac electrophysiology are promising tools for reducing the rates of non-response patients suitable for cardiac resynchronization therapy (CRT) by optimizing electrode placement. The majority of computational models in the
Externí odkaz: https://doaj.org/article/73b08aa3dd594e31b7e2af0196350756
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4
Graph Convolutional Regression of Cardiac Depolarization from Sparse Endocardial Maps
Autor: Andreas Maier, Viorel Mihalef, Hiroshi Ashikaga, Èric Lluch, Tiziano Passerini, Chloé Audigier, Tommaso Mansi, Henry R. Halperin, Felix Meister
Publikováno v: Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges ISBN: 9783030681067
M&Ms and EMIDEC/STACOM@MICCAI
Electroanatomic mapping as routinely acquired in ablation therapy of ventricular tachycardia is the gold standard method to identify the arrhythmogenic substrate. To reduce the acquisition time and still provide maps with high spatial resolution, we
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f8cd0ee3eac9ce10051f4d843e6df816
https://doi.org/10.1007/978-3-030-68107-4_3
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5
Abstract 16755: Personalized Virtual Cardiac Resynchronization Therapy Simulation Based on a 12-Lead ECG and CMR Predicts Electrical Activation Changes After Cardiac Resynchronization Therapy
Autor: Jeffrey W. Holmes, Christopher M. Kramer, Èric Lluch, Pim J.A. Oomen, Xu Gao, Kenneth C. Bilchick, Tommaso Mansi
Publikováno v: Circulation. 142
Introduction: Simulating electrical remodeling after cardiac resynchronization therapy (CRT) based on individual patient characteristics could enhance the effectiveness of the procedure, help select optimal CRT candidates, and yield important prognos
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bce70a8490eb522766cf7718524ce2b2
https://doi.org/10.1161/circ.142.suppl_3.16755
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6
Calibration of a fully coupled electromechanical meshless computational model of the heart with experimental data
Autor: Hernán G. Morales, Martyn P. Nash, Ruben Doste, Bart Bijnens, Èric Lluch, Oscar Camara, Vicky Y. Wang, Maxime Sermesant, Mathieu De Craene
Publikováno v: Computer Methods in Applied Mechanics and Engineering. 364:112869
Most electromechanical cardiac models available in the literature are based on the Finite Element Method (FEM). Despite FEM’s high accuracy, its performance is intrinsically dependent on the geometrical mesh quality onto which equations are discret
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8801db71181a85f43ebe95968db8cff6
https://doi.org/10.1016/j.cma.2020.112869
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7
Personalized computational framework to study arrhythmia mechanisms on top of ECGI-detected sub-strate
Autor: Matthijs J. M. Cluitmans, Paul G.A. Volders, Jordi Heijman, Hernán G. Morales, Èric Lluch
Publikováno v: CinC
Comunicació presentada a: Computing in Cardiology Conference (CinC) celebrat del 23 al 26 de setembre de 2018 a Maastricht, Països Baixos. Electrocardiographic Imaging (ECGI) can unmask electrical abnormalities that were difficult to detect using t
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ffc140514e81eb135d47c92b48deeedb
http://hdl.handle.net/10230/43969
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8
Assessment of Haemodynamic Remodeling in Fetal Aortic Coarctation Using a Lumped Model of the Circulation
Autor: I. Soveral, Gabriel Bernardino, Bart Bijnens, Olga Gómez, Paula Giménez Mínguez, Patricia Garcia-Canadilla, Èric Lluch
Publikováno v: Functional Imaging and Modelling of the Heart ISBN: 9783319594477
FIMH
Pop M., Wright G. (eds) Functional Imaging and Modelling of the Heart. FIMH 2017. Lecture Notes in Computer Science.
Recercat. Dipósit de la Recerca de Catalunya
instname
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Functional Imaging and Modelling of the Heart
Comunicació presentada a: the 9th International Conference Functional Imaging and Modelling of the Heart FIMH 2017, celebrat de l'11 al 13 de juny de 2017 a Toronto, Canadà. Introduction: Aortic coarctation is one of the most difficult cardiac defe
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cbc92a2813f28aa4c4d1ca2eece9dcdc
https://doi.org/10.1007/978-3-319-59448-4_45
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9
Smoothed particle hydrodynamics for electrophysiological modeling: an alternative to finite element methods
Autor: Èric Lluch, Maxime Sermesant, Oscar Camara, Ruben Doste, Hernán G. Morales, Mathieu De Craene, Alexandre This, Sophie Giffard-Roisin
Publikováno v: FIMH 2017-9th International Conference on Functional Imaging and Modelling of the Heart
FIMH 2017-9th International Conference on Functional Imaging and Modelling of the Heart, Jun 2017, Toronto, Canada. pp.333-343, ⟨10.1007/978-3-319-59448-4_32⟩
Functional imaging and modelling of the heart 2017, Jun 2017, Toronto, Canada. 141, 2017, Functional imaging and modelling of the heart 2017 Proceedings
Functional Imaging and Modelling of the Heart ISBN: 9783319594477
FIMH
Recercat. Dipósit de la Recerca de Catalunya
instname
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Functional Imaging and Modelling of the Heart
Comunicació presentada a la 9th international conference on Functional Imaging and Modeling of the Heart (FIMH 2017), celebrada els dies 11 a 13 de juny de 2017 a Toronto, Canadà. Finite element methods (FEM) are generally used in cardiac 3D-electr
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b18e9843f6595d97a51c2170dbbdaac4
http://hdl.handle.net/10230/32503
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