Detection of Brief Episodes of Atrial Fibrillation Based on Electrocardiomatrix and Convolutional Neural Network

Detection of Brief Episodes of Atrial Fibrillation Based on Electrocardiomatrix and Convolutional Neural Network

Background: Brief episodes of atrial fibrillation (AF) may evolve into longer AF episodes increasing the chances of thrombus formation, stroke, and death. Classical methods for AF detection investigate rhythm irregularity or P-wave absence in the ECG, while deep learning approaches profit from the a...

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Bibliographic Details
Main Authors: Ricardo Salinas-Martínez, Johannes de Bie, Nicoletta Marzocchi, Frida Sandberg
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-08-01
Series:Frontiers in Physiology
Subjects:
atrial fibrillation
brief atrial fibrillation
convolutional neural network
interpretability
atrial fibrillation detection
layer-wise relevance propagation
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2021.673819/full

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https://www.frontiersin.org/articles/10.3389/fphys.2021.673819/full

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