Detection of Atrial Fibrillation Episodes in Long-Term Heart Rhythm Signals Using a Support Vector Machine

Detection of Atrial Fibrillation Episodes in Long-Term Heart Rhythm Signals Using a Support Vector Machine

Atrial fibrillation (AF) is a serious heart arrhythmia leading to a significant increase of the risk for occurrence of ischemic stroke. Clinically, the AF episode is recognized in an electrocardiogram. However, detection of asymptomatic AF, which requires a long-term monitoring, is more efficient wh...

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Bibliographic Details
Main Authors: Robert Czabanski, Krzysztof Horoba, Janusz Wrobel, Adam Matonia, Radek Martinek, Tomasz Kupka, Michal Jezewski, Radana Kahankova, Janusz Jezewski, Jacek M. Leski
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Sensors
Subjects:
support vector machine (svm)
heart rate variability (hrv)
hrv features
atrial fibrillation (af)
af detection
Online Access:https://www.mdpi.com/1424-8220/20/3/765

Internet

https://www.mdpi.com/1424-8220/20/3/765

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