Artificial Neural Network for Atrial Fibrillation Identification in Portable Devices

Atrial fibrillation (AF) is a common cardiac disorder that can cause severe complications. AF diagnosis is typically based on the electrocardiogram (ECG) evaluation in hospitals or in clinical facilities. The aim of the present work is to propose a new artificial neural network for reliable AF ident...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 20; H. 12; S. 3570
Hauptverfasser:	Marinucci, Daniele, Sbrollini, Agnese, Marcantoni, Ilaria, Morettini, Micaela, Swenne, Cees A., Burattini, Laura
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 24.06.2020 MDPI
Schlagworte:	Algorithms artificial neural networks atrial fibrillation Atrial Fibrillation - diagnosis Cardiac arrhythmia Datasets Electrocardiography Electrocardiography - instrumentation Heart Heart Rate Humans Identification machine learning algorithms Medical equipment Morphology Neural networks Neural Networks, Computer Noise Population portable devices Signal processing artificial neural networks atrial fibrillation portable devices machine learning algorithms
ISSN:	1424-8220, 1424-8220
Online-Zugang:	Volltext
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