Atrioventricular Synchronization for Detection of Atrial Fibrillation and Flutter in One to Twelve ECG Leads Using a Dense Neural Network Classifier

Atrioventricular Synchronization for Detection of Atrial Fibrillation and Flutter in One to Twelve ECG Leads Using a Dense Neural Network Classifier

This study investigates the use of atrioventricular (AV) synchronization as an important diagnostic criterion for atrial fibrillation and flutter (AF) using one to twelve ECG leads. Heart rate, lead-specific AV conduction time, and P-/f-wave amplitude were evaluated by three representative ECG metri...

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Bibliographic Details
Main Authors: Irena Jekova, Ivaylo Christov, Vessela Krasteva
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Sensors
Subjects:
electrocardiogram diagnosis
arrhythmia
RR interval
PQ interval
PQ amplitude
artificial intelligence
Online Access:https://www.mdpi.com/1424-8220/22/16/6071

Internet

https://www.mdpi.com/1424-8220/22/16/6071

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