Detection of Atrial Fibrillation in Holter ECG Recordings by ECHOView Images: A Deep Transfer Learning Study

Detection of Atrial Fibrillation in Holter ECG Recordings by ECHOView Images: A Deep Transfer Learning Study

<b>Background/Objectives</b>: The timely and accurate detection of atrial fibrillation (AF) is critical from a clinical perspective. Detecting short or transient AF events is challenging in 24–72 h Holter ECG recordings, especially when symptoms are infrequent. This study aims to explore...

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Bibliographic Details
Main Authors: Vessela Krasteva, Todor Stoyanov, Stefan Naydenov, Ramun Schmid, Irena Jekova
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Diagnostics
Subjects:
Holter ECG monitoring
deep neural networks
ImageNet DNN
arrhythmia
ECG signal processing
image processing
Online Access:https://www.mdpi.com/2075-4418/15/7/865
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