Código QR (código de barras bidimensional)

Predicting and Recognizing Drug‐Induced Type I Brugada Pattern Using ECG‐Based Deep Learning

Background Brugada syndrome (BrS) has been associated with sudden cardiac death in otherwise healthy subjects, and drug‐induced BrS accounts for 55% to 70% of all patients with BrS. This study aims to develop a deep convolutional neural network and evaluate its performance in recognizing and predict...

ver descrição completa

Na minha lista:
Principais autores: Paul‐Adrian Călburean, Luigi Pannone, Cinzia Monaco, Domenico Della Rocca, Antonio Sorgente, Alexandre Almorad, Gezim Bala, Filippo Aglietti, Robbert Ramak, Ingrid Overeinder, Erwin Ströker, Gudrun Pappaert, Marius Măru’teri, Marius Harpa, Mark La Meir, Pedro Brugada, Juan Sieira, Andrea Sarkozy, Gian‐Battista Chierchia, Carlo de Asmundis
Formato: Artigo
Idioma:Inglês
Publicado em: Wiley 2024-05-01
coleção:Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
Assuntos:
ajmaline testing
artificial intelligence
Brugada syndrome
deep learning
Acesso em linha:https://www.ahajournals.org/doi/10.1161/JAHA.123.033148
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registros relacionados