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

Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

11.6K
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...
11.6K
Instrumentation Amplifier01:25

Instrumentation Amplifier

998
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...
998
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

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

Evaluation of Bubble Entropy Using Heart Rate Variability.

Entropy (Basel, Switzerland)·2026
Same author

A pilot randomized trial of ketamine for suicidal ideation in a pediatric emergency department.

CJEM·2026
Same author

British Columbia Children's Hospital Compass Program: Extending mental health supports for rural Northern communities.

PloS one·2026
Same author

Advances in pediatrics: new technologies in clinical practice.

La Pediatria medica e chirurgica : Medical and surgical pediatrics·2026
Same author

Basic psychological needs and parental bonding in Italian adults at high risk of hikikomori (extreme social withdrawal): the distinctive association of Competence Frustration with symptom severity.

Frontiers in psychology·2026
Same author

Text-to-ECG: a Framework to Generate 12-Lead ECG from Text Reports.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

相关实验视频

Updated: Jan 9, 2026

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

可逆的条件生成对抗网络,有效地从正常的心电图中产生心肌梗塞.

Sara Battiston, Roberto Sassi, Massimo W Rivolta

    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
    此摘要是机器生成的。

    可逆条件生成对抗网络 (IcGANs) 能够有效地将正常的心电图转化为心肌梗塞模式. 这种深度学习方法为生成合成生物医学信号提供了灵活的框架.

    更多相关视频

    Myocardial Infarction in Neonatal Mice, A Model of Cardiac Regeneration
    07:48

    Myocardial Infarction in Neonatal Mice, A Model of Cardiac Regeneration

    Published on: May 24, 2016

    19.6K
    Induction of Myocardial Infarction in Adult Zebrafish Using Cryoinjury
    11:12

    Induction of Myocardial Infarction in Adult Zebrafish Using Cryoinjury

    Published on: April 18, 2012

    22.9K

    相关实验视频

    Last Updated: Jan 9, 2026

    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
    Myocardial Infarction in Neonatal Mice, A Model of Cardiac Regeneration
    07:48

    Myocardial Infarction in Neonatal Mice, A Model of Cardiac Regeneration

    Published on: May 24, 2016

    19.6K
    Induction of Myocardial Infarction in Adult Zebrafish Using Cryoinjury
    11:12

    Induction of Myocardial Infarction in Adult Zebrafish Using Cryoinjury

    Published on: April 18, 2012

    22.9K

    科学领域:

    • 生物医学信号处理
    • 深度学习 (Deep Learning) 是一种深度学习.
    • 心血管研究研究心血管研究

    背景情况:

    • 基于深度学习的风格转移显示出产生合成生理信号的前景.
    • 像CycleGAN这样的现有方法需要多个模型来进行不同的转换.
    • 在生物医学应用中,需要更高效,更灵活的风格转移技术.

    研究的目的:

    • 探索使用可逆条件生成对抗网络 (IcGANs) 进行12导电心电图中的风格转移.
    • 为了将心电图中的心跳从正常的鼻节奏转变为心肌梗塞 (下部和前部).
    • 将IcGAN的效率和性能与ECG风格传输的CycleGAN进行比较.

    主要方法:

    • 培训一个ICGAN和一个ECG风格转移的编码器.
    • 使用Physionet的PTB-XL数据集进行培训.
    • 通过视觉检查,GAN分数和ST段振幅分析来评估生成的ECG信号质量.

    主要成果:

    • IcGAN有效地捕捉了心肌梗塞的特征,同时保留了原来的心电图特征.
    • 生成的心电图信号显示出具有临床意义的变化.
    • 与类似架构中的CycleGAN相比,IcGAN显示出更高的效率和性能.

    结论:

    • 与CycleGAN相比,IcGAN为生物医学信号风格传输提供了一个更有效和更灵活的框架.
    • 该技术显示了对罕见条件的域适应和合成数据生成的潜力.
    • 使用IcGAN进行受控的心电图特征修改可以增强个性化医学的模型概括性.