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...
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 |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2023-03-01
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Series: | EBioMedicine |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352396423000270 |
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