A Deep Learning Approach for Detecting Atrial Fibrillation using RR Intervals of ECG

A Deep Learning Approach for Detecting Atrial Fibrillation using RR Intervals of ECG

Atrial Fibrillation (AF) is one of the most common type of heart arrhythmias observed in the clinical practice. AF can be detected using Electrocardiogram (ECG). ECG signal are time varying and nonlinear in nature. Hence, it is very difficult for a physician to perform accurate and rapid classifica...

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Bibliographic Details
Main Authors: Shrikanth Rao S.K, MaheshKumar H Kolekar, Roshan Joy Martis
Format: Article
Language:English
Published: Tehran University of Medical Sciences 2024-03-01
Series:Frontiers in Biomedical Technologies
Subjects:
Atrial Fibrillation
Electrocardiogram
Discrete Wavelet Transform
Savitzky-Golay Filter
Convolutional Neural Network
Long Short Term Memory
Online Access:https://fbt.tums.ac.ir/index.php/fbt/article/view/555

Internet

https://fbt.tums.ac.ir/index.php/fbt/article/view/555

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