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Updated: Jan 12, 2026

Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation
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Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation

Published on: July 20, 2022

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一个基于频率分解的自适应双流网络,用于用低SNR数据对心房动进行分类

Jilin Wang1, Tengqun Shen2, Mengfan Li2

  • 1School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai, China; Shandong Key Laboratory of Intelligent Electronic Packaging Testing and Application, Shandong University, Weihai, China.

Medical engineering & physics
|November 1, 2025
PubMed
概括

适应式双流网络 (ABNet) 在噪音高的心电图信号中有效检测心房动 (AF). 这种新的方法使用频率分解进行可靠的AF识别,在临床数据集中实现高精度.

关键词:
适应性重量是适应性的重量.心房动是一种心房动.双流网络是双流网络.频率分解频率分解较低的SNR可能导致SNR低.

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