A Heart Rate Variability-Based Paroxysmal Atrial Fibrillation Prediction System

Atrial fibrillation (AF) is characterized by totally disorganized atrial depolarizations without effective atrial contraction. It is the most common form of cardiac arrhythmia, affecting more than 46.3 million people worldwide and its incidence rate remains increasing. Although AF itself is not life...

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Veröffentlicht in:	Applied sciences Jg. 12; H. 5; S. 2387
Hauptverfasser:	Mendez, Milna Maria, Hsu, Min-Chia, Yuan, Jenq-Tay, Lynn, Ke-Shiuan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.03.2022
Schlagworte:	Algorithms Cardiac arrhythmia Classification convolutional neural network Datasets Electrocardiography genetic algorithm Heart rate heart rate variability Neural networks Noise paroxysmal atrial fibrillation poincaré plot Sinuses Wearable computers
ISSN:	2076-3417, 2076-3417
Online-Zugang:	Volltext
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