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Andreu M Climent

Showing results (21-30 of 63) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Characteristics of inverse-computed epicardial electrograms of Brugada syndrome patientsJ Pedrón-Torrecilla, Andreu M Climent, José Millet, et al.
Circulation. Arrhythmia and Electrophysiology|September 10, 2017
Technical Considerations on Phase Mapping for Identification of Atrial Reentrant Activity in Direct- and Inverse-Computed ElectrogramsMiguel Rodrigo, Andreu M Climent, Alejandro Liberos, et al.
Heart Rhythm|April 15, 2017
Highest dominant frequency and rotor positions are robust markers of driver location during noninvasive mapping of atrial fibrillation: A computational studyMiguel Rodrigo, Andreu M Climent, Alejandro Liberos, et al.
Medical & Biological Engineering & Computing|November 12, 2022
Electrocardiographic imaging in the atriaIsmael Hernández-Romero, Rubén Molero, Carlos Fambuena-Santos, et al.
IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society|May 9, 2009
How many leads are necessary for a reliable reconstruction of surface potentials during atrial fibrillation?María de la Salud Guillem, Andreas Bollmann, Andreu M Climent, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Atrial sources identification by causality analysis during atrial fibrillationMiguel Rodrigo, Andreu M Climent, Alejandro Liberos, et al.
Frontiers in Physiology|February 11, 2026
Correction: Deep learning for atrial electrogram estimation: toward non-invasive arrhythmia mapping using variational autoencodersMiriam Gutiérrez-Fernández, K López-Linares, C Fambuena-Santos, et al.
Frontiers in Physiology|January 28, 2026
Deep learning for atrial electrogram estimation: toward non-invasive arrhythmia mapping using variational autoencodersMiriam Gutiérrez-Fernández, K López-Linares, C Fambuena-Santos, et al.
IEEE Transactions on Bio-Medical Engineering|June 17, 2010
Noninvasive assessment of the complexity and stationarity of the atrial wavefront patterns during atrial fibrillationPietro Bonizzi, María de la Salud Guillem, Andreu M Climent, et al.
Journal of Cardiovascular Electrophysiology|November 20, 2008
Noninvasive mapping of human atrial fibrillationMaria S Guillem, Andreu M Climent, Francisco Castells, et al.
Pageof 7

Showing results (21-30 of 63) with videos related to

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Pageof 7
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Characteristics of inverse-computed epicardial electrograms of Brugada syndrome patientsJ Pedrón-Torrecilla, Andreu M Climent, José Millet, et al.
Circulation. Arrhythmia and Electrophysiology|September 10, 2017
Technical Considerations on Phase Mapping for Identification of Atrial Reentrant Activity in Direct- and Inverse-Computed ElectrogramsMiguel Rodrigo, Andreu M Climent, Alejandro Liberos, et al.
Heart Rhythm|April 15, 2017
Highest dominant frequency and rotor positions are robust markers of driver location during noninvasive mapping of atrial fibrillation: A computational studyMiguel Rodrigo, Andreu M Climent, Alejandro Liberos, et al.
Medical & Biological Engineering & Computing|November 12, 2022
Electrocardiographic imaging in the atriaIsmael Hernández-Romero, Rubén Molero, Carlos Fambuena-Santos, et al.
IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society|May 9, 2009
How many leads are necessary for a reliable reconstruction of surface potentials during atrial fibrillation?María de la Salud Guillem, Andreas Bollmann, Andreu M Climent, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Atrial sources identification by causality analysis during atrial fibrillationMiguel Rodrigo, Andreu M Climent, Alejandro Liberos, et al.
Frontiers in Physiology|February 11, 2026
Correction: Deep learning for atrial electrogram estimation: toward non-invasive arrhythmia mapping using variational autoencodersMiriam Gutiérrez-Fernández, K López-Linares, C Fambuena-Santos, et al.
Frontiers in Physiology|January 28, 2026
Deep learning for atrial electrogram estimation: toward non-invasive arrhythmia mapping using variational autoencodersMiriam Gutiérrez-Fernández, K López-Linares, C Fambuena-Santos, et al.
IEEE Transactions on Bio-Medical Engineering|June 17, 2010
Noninvasive assessment of the complexity and stationarity of the atrial wavefront patterns during atrial fibrillationPietro Bonizzi, María de la Salud Guillem, Andreu M Climent, et al.
Journal of Cardiovascular Electrophysiology|November 20, 2008
Noninvasive mapping of human atrial fibrillationMaria S Guillem, Andreu M Climent, Francisco Castells, et al.
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