相关实验视频

Updated: Jan 14, 2026

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
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Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System

Published on: April 11, 2025

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通过使用时间频率特征和3D卷积神经网络,对心肌梗塞患者和健康对照者之间的心脏电信号进行分类

Muqing Deng1,2, Boyan Li2, Mingying Ma2

  • 1Center of Preventive Disease, The People's Hospital of Yangjiang, Yangjiang, People's Republic of China.

Biomedical physics & engineering express
|October 27, 2025
PubMed
概括

本研究引入了一种自动化方法,用于检测心肌梗塞 (MI),使用心电图 (ECG) 的时间频率特征和3D深度学习. 该方法在从心电图信号中分类心脏病发作时达到很高的准确性,有助于更快的诊断.

关键词:
3D深度网络是一个3D深度网络.电心电图 (ECG) 是一种心电图.心肌梗塞 (MI) 是一种心肌梗塞.时间频率特征是时间频率特征.

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An electrocardiogram (ECG or EKG) is a critical diagnostic tool that records the electrical signals produced by the heart during each heartbeat. This recording is achieved through electrodes placed strategically on the arms, legs, and chest. The electrocardiograph amplifies these signals and produces 12 distinct tracings, offering a comprehensive understanding of the heart's electrical activity.
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