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Updated: Jun 28, 2026

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一个剩余的U-Net神经网络,用于地震心电图在体力活动期间的检测和分析

Mohammad Nikbakht, Michael Chan, David J Lin

    IEEE journal of biomedical and health informatics
    |April 22, 2024
    PubMed
    概括

    一种新的深度学习模型有效地消除了地震心电图 (SCG) 信号中的运动噪声,改善了行走期间的心血管健康监测. 基于U-Net的方法提高了估计心率和心脏门事件时间的准确性.

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    Correlation between ECG and Cardiac Cycle01:25

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    The electrical signals recorded on an electrocardiogram (ECG) occur before the mechanical processes of contraction and relaxation during the cardiac cycle.
    A cardiac action potential originates in the SA node and spreads throughout the atria and the AV node in approximately 0.03 seconds. This results in the P wave in an ECG and triggers atrial contraction. The action potential is then briefly slowed at the AV node, allowing the atria to contract and fill the ventricles with blood before...