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

3.2K
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...
3.2K
Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

8.4K
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...
8.4K
Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

876
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...
876
Instrumentation Amplifier01:25

Instrumentation Amplifier

700
An electrocardiography (ECG) machine is an essential piece of medical equipment used to monitor the electrical activity of the heart. It operates by detecting small electrical changes on the skin that result from the depolarization of the heart muscle during each heartbeat. However, these signals are in the microvolt range and can be easily overwhelmed by noise or interference.
To overcome this challenge, an ECG machine utilizes an instrumentation amplifier. This specialized amplifier is...
700

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

Modified treatment protocol for pediatric systemic lupus erythematosus-associated hemophagocytic lymphohistiocytosis with central nervous system involvement: a case report.

Frontiers in immunology·2026
Same author

Cpumycins A-C, Aminated Benzoic Dimers from <i>Streptomyces</i> sp. CPU-W6, and Their Potential Cardioprotective Activities.

Journal of natural products·2026
Same author

<i>Mycoplasma hyopneumoniae</i> modulates ciliary function and epithelial integrity in air-liquid interface porcine respiratory epithelial cells (ALI-PRECs).

Microbiology spectrum·2026
Same author

Case Report: Novel <i>CXCR2</i> compound heterozygous variants in an infant with neutropenia.

Frontiers in immunology·2026
Same author

Generation of an Etiology Index Based on Confirmed Tissue Diagnosis Data to Assess Endemic Swine Etiology Activity in the United States of America.

Transboundary and emerging diseases·2026
Same author

Synergy of Spin States, Active Centers, and H Adsorption Sites on <i>d</i>-<i>p</i> Hybridized Fe-Sn-N<sub>6</sub>-C Dual-Atom Catalysts for Enhanced Oxygen Reduction Reaction.

Journal of the American Chemical Society·2026

相关实验视频

Updated: Sep 11, 2025

Author Spotlight: Unraveling Seizure Dynamics and Novel Therapeutics for Status Epilepticus Using CMOS High-Density Microelectrode Array Systems
06:28

Author Spotlight: Unraveling Seizure Dynamics and Novel Therapeutics for Status Epilepticus Using CMOS High-Density Microelectrode Array Systems

Published on: September 27, 2024

2.6K

GAEA-Net:通过对抗网络生成活动丰富的异常ECG.

Liuqing Chen, Shuhong Xiao, Yujie Zang

    IEEE journal of biomedical and health informatics
    |August 11, 2025
    PubMed
    概括

    本研究介绍了GAEA-Net,用于创建合成运动心电图 (ECG),以更好地监测可穿戴的健康状况. GAEA-Net 改善了身体活动期间异常心电图分类,减少了错误报警和错过检测.

    科学领域:

    • 生物医学工程 生物医学工程
    • 医疗保健中的人工智能
    • 心血管监测 心血管监测

    背景情况:

    • 可穿戴设备需要在体力活动期间进行非处方心电图诊断.
    • 由于缺乏相关数据,现有的心电图异常模型在运动期间表现不佳.
    • 异常的心电图通常在静止状态下被记录,这限制了模型对活跃状态的概括性.

    研究的目的:

    • 开发一种用于生成合成,活动丰富的ECG数据的新方法.
    • 提高身体活动期间ECG异常分类模型的性能.
    • 为了解决运动期间捕获的异常心电图数据的稀缺性.

    主要方法:

    • 建议GAEA-Net模型用于ECG合成.
    • 使用了健康个体的运动心电图和静止状态异常心电图.
    • 生成合成活动丰富的ECG用于模型培训和测试.

    主要成果:

    • 在五个数据集中实现了平均性能改进:1.3%的准确性,1.3%的F1得分,0.9%的AUROC,1.6%的MCC和1.4%的科恩的卡帕.
    • 临床图灵试验证实了合成心电图的高保真性.
    • 心脏病学家在合成心电图和真实心电图上显示出可比的诊断准确率 (55.7%和54.9%).

    更多相关视频

    Recording Human Electrocorticographic ECoG Signals for Neuroscientific Research and Real-time Functional Cortical Mapping
    13:32

    Recording Human Electrocorticographic ECoG Signals for Neuroscientific Research and Real-time Functional Cortical Mapping

    Published on: June 26, 2012

    25.9K
    Measuring Neural and Behavioral Activity During Ongoing Computerized Social Interactions: An Examination of Event-Related Brain Potentials
    09:40

    Measuring Neural and Behavioral Activity During Ongoing Computerized Social Interactions: An Examination of Event-Related Brain Potentials

    Published on: November 15, 2014

    13.9K

    相关实验视频

    Last Updated: Sep 11, 2025

    Author Spotlight: Unraveling Seizure Dynamics and Novel Therapeutics for Status Epilepticus Using CMOS High-Density Microelectrode Array Systems
    06:28

    Author Spotlight: Unraveling Seizure Dynamics and Novel Therapeutics for Status Epilepticus Using CMOS High-Density Microelectrode Array Systems

    Published on: September 27, 2024

    2.6K
    Recording Human Electrocorticographic ECoG Signals for Neuroscientific Research and Real-time Functional Cortical Mapping
    13:32

    Recording Human Electrocorticographic ECoG Signals for Neuroscientific Research and Real-time Functional Cortical Mapping

    Published on: June 26, 2012

    25.9K
    Measuring Neural and Behavioral Activity During Ongoing Computerized Social Interactions: An Examination of Event-Related Brain Potentials
    09:40

    Measuring Neural and Behavioral Activity During Ongoing Computerized Social Interactions: An Examination of Event-Related Brain Potentials

    Published on: November 15, 2014

    13.9K

    结论:

    • GAEA-Net有效地为体育活动场景合成现实的心电图数据.
    • 这种方法提高了运动期间可穿戴式心电图监测的可靠性.
    • 合成数据生成是一种可行的策略,可以克服主动心电图分析中的数据限制.