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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Sensors (Basel, Switzerland) Ročník 20; číslo 12; s. 3570
Hlavní autoři:	Marinucci, Daniele, Sbrollini, Agnese, Marcantoni, Ilaria, Morettini, Micaela, Swenne, Cees A., Burattini, Laura
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Switzerland MDPI AG 24.06.2020 MDPI
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!