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Updated: Feb 24, 2026

Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function
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基于深度学习的早期预测,使用长期的霍尔特心电图信号来预测危及生命的心室节律失常

Yifan Wu1, Yu Chen2, Bin Zhang3

  • 1Department of Cardiology, Central People's Hospital of Zhanjiang, Zhanjiang, China.

Frontiers in cardiovascular medicine
|February 23, 2026
PubMed
概括

这项研究引入了一个新的深度学习框架,使用图形神经网络 (GNN) 和变压器从霍尔特心电图信号进行准确的实时腹腔失常 (VA) 检测. 这种先进的模型显著改进了用于及时心脏监测的传统方法.

关键词:
霍尔特可以发出心电图信号.检测心律失常的检测方式图形神经网络是一个神经网络.变压器编码器编码器腹腔心律失常症 腹腔心律失常症

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