Cardioattentionnet: advancing ECG beat characterization with a high-accuracy and portable deep learning model

Cardioattentionnet: advancing ECG beat characterization with a high-accuracy and portable deep learning model

IntroductionThe risk of mortality associated with cardiac arrhythmias is considerable, and their diagnosis presents significant challenges, often resulting in misdiagnosis. This situation highlights the necessity for an automated, efficient, and real-time detection method aimed at enhancing diagnost...

Full description

Saved in:
Bibliographic Details
Main Authors: Youfu He, Yu Zhou, Yu Qian, Jingjie Liu, Jinyan Zhang, Debin Liu, Qiang Wu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
cardiac arrhythmias
electrocardiogram
portable deep learning model
transformer model
Long Short-Term Memory
MobileNet
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2024.1473482/full
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items