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Updated: Jun 28, 2025

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从使用多分支ResNet的单导电心电图自动识别心房动

Jianxin Xie1, Stavros Stavrakis2, Bing Yao3

  • 1School of Data Science, University of Virginia, Charlottesville, VA, United States.

Frontiers in physiology
|April 24, 2024
PubMed
概括

本研究引入了一种深度学习模型,用于使用心电图 (ECG) 自动检测心房动 (AF). 这种新方法可以准确地识别AF,提高诊断效率和可靠性.

关键词:
对心电图信号进行分析.心房动是心房动的一种.卷积神经网络是一种卷积神经网络.不平衡的数据不平衡的数据.多个分支的输出.剩余网络的剩余网络波形变换波形变换波形变换.

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相关概念视频

Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

Introduction
An electrocardiogram (ECG) is a diagnostic tool for identifying cardiac conditions such as arrhythmias, conduction abnormalities, and myocardial ischemia.
Definition
An electrocardiogram (ECG) visualizes the heart's electrical activity by tracing the electrical movement associated with each heartbeat on a graph or monitor. As the heart beats, an electrical wave passes through it, correlating with the cardiac cycle events.
Parts of an ECG
An ECG utilizes electrodes on the skin...
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