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Electrocardiographic Imaging for Atrial Fibrillation: A Perspective From Computer Models and Animal Experiments to Clinical Value.
Salinet, João; Molero, Rubén; Schlindwein, Fernando S; Karel, Joël; Rodrigo, Miguel; Rojo-Álvarez, José Luis; Berenfeld, Omer; Climent, Andreu M; Zenger, Brian; Vanheusden, Frederique; Paredes, Jimena Gabriela Siles; MacLeod, Rob; Atienza, Felipe; Guillem, María S; Cluitmans, Matthijs; Bonizzi, Pietro.
Afiliación
  • Salinet J; Biomedical Engineering, Centre for Engineering, Modelling and Applied Social Sciences (CECS), Federal University of ABC, São Bernardo do Campo, Brazil.
  • Molero R; ITACA Institute, Universitat Politècnica de València, València, Spain.
  • Schlindwein FS; School of Engineering, University of Leicester, United Kingdom and National Institute for Health Research, Leicester Cardiovascular Biomedical Research Centre, Glenfield Hospital, Leicester, United Kingdom.
  • Karel J; Department of Data Science and Knowledge Engineering, Maastricht University, Maastricht, Netherlands.
  • Rodrigo M; Electronic Engineering Department, Universitat de València, València, Spain.
  • Rojo-Álvarez JL; Department of Signal Theory and Communications and Telematic Systems and Computation, University Rey Juan Carlos, Madrid, Spain.
  • Berenfeld O; Center for Arrhythmia Research, University of Michigan, Ann Arbor, MI, United States.
  • Climent AM; ITACA Institute, Universitat Politècnica de València, València, Spain.
  • Zenger B; Biomedical Engineering Department, Scientific Computing and Imaging Institute (SCI), and Cardiovascular Research and Training Institute (CVRTI), The University of Utah, Salt Lake City, UT, United States.
  • Vanheusden F; Department of Engineering, School of Science and Technology, Nottingham Trent University, Nottingham, United Kingdom.
  • Paredes JGS; Biomedical Engineering, Centre for Engineering, Modelling and Applied Social Sciences (CECS), Federal University of ABC, São Bernardo do Campo, Brazil.
  • MacLeod R; Biomedical Engineering Department, Scientific Computing and Imaging Institute (SCI), and Cardiovascular Research and Training Institute (CVRTI), The University of Utah, Salt Lake City, UT, United States.
  • Atienza F; Cardiology Department, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón, and Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain.
  • Guillem MS; ITACA Institute, Universitat Politècnica de València, València, Spain.
  • Cluitmans M; Department of Cardiology, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, Netherlands.
  • Bonizzi P; Department of Data Science and Knowledge Engineering, Maastricht University, Maastricht, Netherlands.
Front Physiol ; 12: 653013, 2021.
Article en En | MEDLINE | ID: mdl-33995122
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Guideline / Prognostic_studies Idioma: En Revista: Front Physiol Año: 2021 Tipo del documento: Article País de afiliación: Brasil
Texto completo
Añadir a Mi BVS
Imprimir
XML
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Guideline / Prognostic_studies Idioma: En Revista: Front Physiol Año: 2021 Tipo del documento: Article País de afiliación: Brasil