Machine learning of electrophysiological signals for the prediction of ventricular arrhythmias: systematic review and examination of heterogeneity between studiesResearch in context

Machine learning of electrophysiological signals for the prediction of ventricular arrhythmias: systematic review and examination of heterogeneity between studiesResearch in context

Summary: Background: Ventricular arrhythmia (VA) precipitating sudden cardiac arrest (SCD) is among the most frequent causes of death and pose a high burden on public health systems worldwide. The increasing availability of electrophysiological signals collected through conventional methods (e.g. e...

Full description

Bibliographic Details
Main Authors: Maarten Z.H. Kolk, Brototo Deb, Samuel Ruipérez-Campillo, Neil K. Bhatia, Paul Clopton, Arthur A.M. Wilde, Sanjiv M. Narayan, Reinoud E. Knops, Fleur V.Y. Tjong
Format: Article
Language:English
Published: Elsevier 2023-03-01
Series:EBioMedicine
Subjects:
Cardiology
Artificial intelligence
Electrocardiography
Systematic review
Meta-analysis
Machine Learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2352396423000270

Internet

http://www.sciencedirect.com/science/article/pii/S2352396423000270

Similar Items