Predicting Spontaneous Termination of Atrial Fibrillation Based on Analysis of Standard Electrocardiograms: A Systematic Review

Predicting Spontaneous Termination of Atrial Fibrillation Based on Analysis of Standard Electrocardiograms: A Systematic Review

ABSTRACT Background Forward prediction of atrial fibrillation (AF) termination is a challenging technical problem of increasing significance due to rising AF presentations to emergency departments worldwide. The ability to non‐invasively predict which AF episodes will terminate has important implica...

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Bibliographic Details
Main Authors: Brandon Wadforth, Jing Soong Goh, Kathryn Tiver, Sobhan Salari Shahrbabaki, Ivaylo Tonchev, Dhani Dharmaprani, Anand N. Ganesan
Format: Article
Language:English
Published: Wiley 2024-11-01
Series:Annals of Noninvasive Electrocardiology
Subjects:
atrial fibrillation
electrocardiogram
entropy
frequency analysis
machine learning
prediction
Online Access:https://doi.org/10.1111/anec.70025
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https://doi.org/10.1111/anec.70025

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