Using Minimum Redundancy Maximum Relevance Algorithm to Select Minimal Sets of Heart Rate Variability Parameters for Atrial Fibrillation Detection

Using Minimum Redundancy Maximum Relevance Algorithm to Select Minimal Sets of Heart Rate Variability Parameters for Atrial Fibrillation Detection

Heart rate is quite regular during sinus (normal) rhythm (SR) originating from the sinus node. In contrast, heart rate is usually irregular during atrial fibrillation (AF). Complete atrioventricular block with an escape rhythm, ventricular pacing, or ventricular tachycardia are the most common excep...

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Bibliographic Details
Main Authors: Szymon Buś, Konrad Jędrzejewski, Przemysław Guzik
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Journal of Clinical Medicine
Subjects:
electrocardiogram
ECG
atrial fibrillation
machine learning
feature selection
minimum redundancy maximum relevance
Online Access:https://www.mdpi.com/2077-0383/11/14/4004

Internet

https://www.mdpi.com/2077-0383/11/14/4004

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