A hybrid deep learning network for automatic diagnosis of cardiac arrhythmia based on 12-lead ECG

A hybrid deep learning network for automatic diagnosis of cardiac arrhythmia based on 12-lead ECG

Abstract Cardiac arrhythmias are the leading cause of death and pose a huge health and economic burden globally. Electrocardiography (ECG) is an effective technique for the diagnosis of cardiovascular diseases because of its noninvasive and cost-effective advantages. However, traditional ECG analysi...

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Bibliographic Details
Main Authors: Xiangyun Bai, Xinglong Dong, Yabing Li, Ruixia Liu, Henggui Zhang
Format: Article
Language:English
Published: Nature Portfolio 2024-10-01
Series:Scientific Reports
Subjects:
Electrocardiogram
CNN
BiGRU
Multi-head attention
Cardiac arrhythmia
Feature extraction
Online Access:https://doi.org/10.1038/s41598-024-75531-w

Internet

https://doi.org/10.1038/s41598-024-75531-w

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