Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Electrocardiogram01:29

Electrocardiogram

2.3K
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.
Three major waveforms are present in a typical ECG recording: the P wave, the QRS complex, and...
2.3K
Pulse rhythm01:30

Pulse rhythm

782
Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
782
Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

559
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...
559

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Case Report: A rare triad of neoplasms: navigating synchronous accessory breast cancer, papillary thyroid carcinoma, and inflammatory nasal papilloma.

Frontiers in medicine·2026
Same author

Deep integration of clinical metadata with [<sup>18</sup>F]FDG PET/CT imaging for histological subtyping in non-small cell lung cancer: a multi-center study.

European journal of nuclear medicine and molecular imaging·2026
Same author

Lactobacillus johnsonii DM2420 Alleviates Dyslipidemia, Remodels Gut Microbiota, and Modulates the Intestinal CD36/SREBP1 Signaling Axis.

Probiotics and antimicrobial proteins·2026
Same author

Fluorinated Pentanidium-Enabled Enantioselective Desymmetrization of Phosphinic Acids.

Journal of the American Chemical Society·2026
Same author

Detection of coronary microvascular dysfunction based on machine learning algorithm with multidimensional temporal-spatial features from electrocardiogram.

Physiological measurement·2026
Same author

Case Report: A seventy-year-stable chest wall bronchogenic cyst with sudden enlargement: coincidence or connection with a concurrent thymic carcinoma?

Frontiers in medicine·2026

相关实验视频

Updated: Jun 23, 2025

A Research Method For Detecting Transient Myocardial Ischemia In Patients With Suspected Acute Coronary Syndrome Using Continuous ST-segment Analysis
18:11

A Research Method For Detecting Transient Myocardial Ischemia In Patients With Suspected Acute Coronary Syndrome Using Continuous ST-segment Analysis

Published on: December 28, 2012

24.3K

基于混合心电图特征和专家特征的自动冠状动脉微血管功能障碍分类方法.

Mingfeng Jiang, Feibiao Bian, Jucheng Zhang

    IEEE journal of biomedical and health informatics
    |June 26, 2024
    PubMed
    概括
    此摘要是机器生成的。

    一种新的计算机辅助方法使用心电图 (ECG) 和专家功能准确诊断冠状动脉微血管功能障碍 (CMD). 这种方法显著提高了冠心病早期干预的诊断准确性.

    更多相关视频

    Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
    10:17

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

    Published on: April 11, 2025

    467
    Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
    06:16

    Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease

    Published on: August 9, 2024

    393

    相关实验视频

    Last Updated: Jun 23, 2025

    A Research Method For Detecting Transient Myocardial Ischemia In Patients With Suspected Acute Coronary Syndrome Using Continuous ST-segment Analysis
    18:11

    A Research Method For Detecting Transient Myocardial Ischemia In Patients With Suspected Acute Coronary Syndrome Using Continuous ST-segment Analysis

    Published on: December 28, 2012

    24.3K
    Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
    10:17

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

    Published on: April 11, 2025

    467
    Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
    06:16

    Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease

    Published on: August 9, 2024

    393

    科学领域:

    • 心脏病学 心脏病学
    • 生物医学工程 生物医学工程
    • 人工智能的人工智能

    背景情况:

    • 冠状动脉微血管功能障碍 (CMD) 的早期诊断对于预防冠状动脉心脏病至关重要.
    • 目前的诊断方法可能是侵入性的或缺乏全面的特征分析.

    研究的目的:

    • 开发一种计算机辅助的CMD自主诊断方法.
    • 整合心电图 (ECG) 和专家衍生的功能,以提高诊断准确度.

    主要方法:

    • 使用MCResnet-BiLSTM和MTF模型提取了ECG特征.
    • 从MCE和CAG数据计算专家特征,包括CFR和Angio-IMR.
    • 融合了心电图和专家特征,然后输入到多层感知子中用于CMD识别.
    • 在模型训练中使用了加权的软max和中心损失总和.

    主要成果:

    • 实现了93.36%的准确性,94.46%的特异性,92.10%的灵敏性,95.89%的精度和93.95%的F1得分.
    • 在江大学的临床数据集上表现出高性能.

    结论:

    • 该方法有效地提取全球心电图和专家特征用于CMD诊断.
    • 混合特征融合和加权损失显著提高了诊断准确度.
    • 介绍了一种用于临床CMD诊断的新和实用方法.