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

5.3K
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...
5.3K
Acute Coronary Syndrome III: Diagnostic Studies01:30

Acute Coronary Syndrome III: Diagnostic Studies

199
Diagnosing acute coronary syndrome or ACS begins with a thorough patient history. Notable symptoms include central, crushing chest pain radiating to the left arm, neck, jaw, or back, along with shortness of breath, sweating (diaphoresis), nausea, vomiting, dizziness, and palpitations.It is crucial to note any history of cardiac illnesses and assess risk factors, including age, gender, smoking, hypertension, diabetes, hyperlipidemia, and a sedentary lifestyle.During physical examination, vital...
199
Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

1.4K
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...
1.4K

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

Unveiling the endothelialization process of the WATCHMAN FLX Pro: beyond the resolution of conventional imaging.

European heart journal. Cardiovascular Imaging·2026
Same author

Epicardial tissue heating during pulsed field ablation assessed using a novel experimental model: implications for collateral damage.

Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology·2026
Same author

Safe and simple pulsed field ablation application using integrated 3D system for AF patients with cardiac tumors.

Indian pacing and electrophysiology journal·2026
Same author

Lipid Metabolic Rewiring During Continuous Prostate Cancer Progression Defines a Biologically Relevant Four-Gene Prognostic Signature.

Biological procedures online·2026
Same author

Effects of positive psychological intervention on psychosocial adjustment in childbearing-age patients with breast cancer.

Frontiers in oncology·2026
Same author

Residual tiny pulmonary vein potentials on high-resolution mapping after pulsed field ablation predict atrial arrhythmia recurrence and poor durability of pulmonary vein isolation.

Heart rhythm·2026

相关实验视频

Updated: Jan 9, 2026

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

24.7K

用分类器引导的扩散模型生成疾病特异性的心电图数据:关于下心肌梗塞的试点病例研究.

Hongtao Chen, Shota Kato, Kana Eguchi

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 3, 2025
    PubMed
    概括

    这项研究引入了一种新的分类器引导的扩散模型,用于生成低心肌梗塞 (IMI) 的合成心电图 (ECG) 数据. 该方法减少了对广泛标记数据集的需求,证明合成数据可以有效地补充用于心脏诊断的真实数据.

    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

    1.5K
    Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations
    12:09

    Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations

    Published on: January 8, 2013

    14.0K

    相关实验视频

    Last Updated: Jan 9, 2026

    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

    24.7K
    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

    1.5K
    Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations
    12:09

    Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations

    Published on: January 8, 2013

    14.0K

    科学领域:

    • 生物医学工程 生物医学工程
    • 人工智能在医学中的应用
    • 心脏病学 心脏病学

    背景情况:

    • 电心电图 (ECG) 是一种重要的非侵入性心脏查工具.
    • 由于隐私和资源限制,高质量的注释式心电图数据很少.
    • 现有的合成心电图生成方法需要昂贵的标记数据集.

    研究的目的:

    • 开发一种具有成本效益的方法来生成特定疾病的合成心电图数据.
    • 减少对合成心电图生成的广泛注释的依赖.
    • 使用一种新的方法生成下部心肌梗塞 (IMI) ECG 数据.

    主要方法:

    • 使用分类器引导的扩散模型用于合成心电图生成.
    • 将该方法应用于PTB-XL数据集,以生成IMI ECGs.
    • 通过分类性能和统计分析评估合成数据质量.

    主要成果:

    • 在合并的真实和合成IMI ECG数据上接受培训的分类人员的表现与仅在真实数据上接受培训的分类人员相似.
    • 统计分析显示,生成的IMI ECG与Q波深分布中的真实IMI ECG非常相匹配.
    • 提出的方法有效地产生高质量,可靠的合成心电图数据.

    结论:

    • 合成心电图数据可以在不影响诊断性能的情况下部分取代真实数据.
    • 分类器引导的扩散模型为心脏研究中的数据稀缺提供了可行的解决方案.
    • 这种方法验证了IMI生成的合成心电图数据的质量和可靠性.