Automated atrial fibrillation prediction using a hybrid long short-term memory network with enhanced whale optimization algorithm on electrocardiogram datasets

Automated atrial fibrillation prediction using a hybrid long short-term memory network with enhanced whale optimization algorithm on electrocardiogram datasets

Background: Cardiac arrhythmias are one of the leading causes of heart failure. In particular, atrial fibrillation (AFib) is a kind of arrhythmia that can lead to heart stroke and myocardial infarction. It is very important and crucial to predict AFib at an early stage to prevent heart disease. Elec...

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Bibliographic Details
Main Authors: Chocko Valliappa, Revathi Thavamani Kalyanasundaram, Sathiyabhama Balasubramaniam, Sankar Sennan, Nirmalesh Kumar Sampath Kumar
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2021-01-01
Series:International Journal of Noncommunicable Diseases
Subjects:
arrhythmia
atrial fibrillation
deep learning
electrocardiogram
long short-term memory network
whale optimization
Online Access:http://www.ijncd.org/article.asp?issn=2468-8827;year=2021;volume=6;issue=5;spage=76;epage=82;aulast=Valliappa

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http://www.ijncd.org/article.asp?issn=2468-8827;year=2021;volume=6;issue=5;spage=76;epage=82;aulast=Valliappa

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