Personalized Fast Electrophysiology Simulations to Evaluate Arrhythmogenicity of Ventricular Slow Conduction Channels

  1. Serra, D.
  2. Franco, P.
  3. Romero, P.
  4. García-Fernández, I.
  5. Lozano, M.
  6. Soto, D.
  7. Penela, D.
  8. Berruezo, A.
  9. Camara, O.
  10. Sebastian, R.
Collection de livres:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

ISSN: 1611-3349,  0302-9743

ISBN: 9783031234422

Année de publication: 2022

Volumen: 13593 LNCS

Pages: 56-64

Type: Communication dans un congrès

DOI: 10.1007/978-3-031-23443-9_6 GOOGLE SCHOLAR

Objectifs de Développement Durable

La source de données: Scopus