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Automatic Brugada pattern detection on continuous electrocardiographic monitoring

Autor
Calvo, M.; Hernández-Rodríguez, J.; Vidorreta, S.; Brugada, J.; Gomis, P.; Arbelo, E.
Tipus d'activitat
Article en revista
Revista
Europace
Data de publicació
2017-06-20
Volum
19
Número
Supp 3
Pàgina inicial
iii347
Pàgina final
iii347
DOI
https://doi.org/10.1093/ehjci/eux158.246 Obrir en finestra nova
URL
https://academic.oup.com/europace/article-abstract/19/suppl_3/iii347/3873287?redirectedFrom=fulltext Obrir en finestra nova
Resum
Background: As described in the literature, Brugada syndrome (BrS) patients presenting a spontaneous type 1 electrocardiographic (ECG) pattern are related to a greater arrhythmic risk compared to those with a flecainideinduced type 1 ECG pattern. The 24hour continuous ECG provides relevant cardiac information. However, it is usually challenging and time consuming to analyze. Purpose: This work presents an automatic algorithm able to detect significant ECG parameters in the disease, such as Brug...
Paraules clau
Arrhythmias., Brugada syndrome, ECG monitoring
Grup de recerca
B2SLab - Bioinformatics and Biomedical Signals Laboratory
CREB - Centre de Recerca en Enginyeria Biomedica

Participants

  • Calvo González, Mireia  (autor)
  • Hernández Rodríguez, José  (autor)
  • Vidorreta Gracia, Silvia  (autor)
  • Brugada Terradellas, Josep  (autor)
  • Gomis Román, Pedro  (autor)
  • Arbelo Lainez, Elena  (autor)