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
Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

4.4K
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...
4.4K
Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

563
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...
563
Electrophysiology of Normal Cardiac Rhythm01:19

Electrophysiology of Normal Cardiac Rhythm

3.3K
The normal cardiac rhythm is a synchronized electrical activity that facilitates the regular and coordinated contraction of the heart muscle. This process is essential for efficient blood circulation throughout the body. The fundamental elements involved in establishing and maintaining this rhythm include the unique electrical properties of cardiac muscle cells, the sinoatrial (SA) node's pacemaker function, the specialized conducting system, and the ionic mechanisms underlying each phase...
3.3K
ECG Interpretation of Rhythms01:24

ECG Interpretation of Rhythms

725
An electrocardiogram (ECG)graphically represents the heart's electrical activity on ECG paper or a monitor.
Components of the Electrocardiogram
The primary components of a normal ECG waveform in Normal sinus rhythm(NSR) include the P wave, PR interval, QRS complex, ST segment, T wave, and occasionally a U wave.
ECG waveforms are divided by vertical and horizontal lines at standard intervals.
The horizontal axis measures time and rate, and the vertical axis measures amplitude or voltage....
725
Cardiac Action Potential01:30

Cardiac Action Potential

1.3K
Cardiac action potentials are essential for proper heart function, enabling the rhythmic contractions needed for adequate blood circulation. Nodal cells and Purkinje fibers, specialized for electrical conduction, generate these action potentials.
The cardiac action potential process involves a series of phases characterized by the movement of ions across the cardiac cell membranes, leading to the depolarization and repolarization of the cardiac myocytes.
Ionic Basis of Cardiac Action Potentials
1.3K

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

Analysis of the Subculture Effect on the <i>Auricularia heimuer</i> Strain 'HWS1908' Based on Transcriptome.

Journal of fungi (Basel, Switzerland)·2026
Same author

3D Perception-Based Adaptive Point Cloud Simplification and Slicing for Soil Compaction Pit Volume Calculation.

Sensors (Basel, Switzerland)·2026
Same author

Research Progress of Laccase in Edible and Medicinal Fungi.

Journal of fungi (Basel, Switzerland)·2026
Same author

Atomically dispersed Ru on defective CdS for photocatalytic solar fuel production coupled with hydrazine degradation.

Materials horizons·2026
Same author

Research on AUV Underwater Localization Method Based on an n-Shaped Array.

Sensors (Basel, Switzerland)·2026
Same author

Real-Time Small UAV Detection in Complex Airspace Using YOLOv11 with Residual Attention and High-Resolution Feature Enhancement.

Journal of imaging·2026
Same journal

Rapid personalisation of cardiovascular models using invasively measured right ventricular pressure.

Computers in biology and medicine·2026
Same journal

Biologically inspired mechanisms for enhancing robustness in EEG signal modeling: Challenges, opportunities, and perspectives.

Computers in biology and medicine·2026
Same journal

Machine learning-based detection of missed inspiratory efforts using esophageal pressure during noisy pressure support ventilation.

Computers in biology and medicine·2026
Same journal

A computational model of chemically- and mechanically-induced thrombus formation in cerebral aneurysms.

Computers in biology and medicine·2026
Same journal

An improved catch fish optimization based deep learning model for Parkinson disease classification using EEG signal.

Computers in biology and medicine·2026
Same journal

Assessing the robustness of evaluation metrics for synthetic ECG signal quality.

Computers in biology and medicine·2026
查看所有相关文章

相关实验视频

Updated: Jun 25, 2025

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

13.7K

基于心脏电向量模拟模型的高效心电图生成.

Wenge Que1, Yingnan Bian2, Shengjie Chen1

  • 1Department of Automation, Tsinghua University, Beijing, 100084, China.

Computers in biology and medicine
|May 31, 2024
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种新的心脏电向量模拟模型 (CEVSM),用于高效和准确的心电图 (ECG) 生成. 该模型通过改进的数据增强,增强了心肌梗塞 (MI) 的计算机辅助诊断.

关键词:
计算机心脏模型 计算机心脏模型数据增强数据增强电心电图 (ECG) 是一种心电图.心肌梗塞的心脏病发作模拟模拟是为了模拟.

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

474
In Silico Clinical Trials for Cardiovascular Disease
09:09

In Silico Clinical Trials for Cardiovascular Disease

Published on: May 27, 2022

1.7K

相关实验视频

Last Updated: Jun 25, 2025

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

13.7K
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

474
In Silico Clinical Trials for Cardiovascular Disease
09:09

In Silico Clinical Trials for Cardiovascular Disease

Published on: May 27, 2022

1.7K

科学领域:

  • 生物医学工程 生物医学工程
  • 计算电生理学 计算电生理学

背景情况:

  • 传统的电心电图生成电生理学模型在计算方面效率低下,缺乏真实性.
  • 准确的心电图数据对于计算机辅助的心肌梗塞 (MI) 的诊断至关重要.

研究的目的:

  • 引入一种新的心脏电向量模拟模型 (CEVSM) 以实现高效和高保真性的心电图生成.
  • 利用CEVSM进行数据增强,以改善心肌梗塞 (MI) 诊断.
  • 展示生命系统模拟在培训医疗大模型中的应用.

主要方法:

  • 开发了心脏电向量模拟模型 (CEVSM).
  • 实现自适应回归转换矩阵方法 (SRTM) 以提高模拟可靠性和一致性.
  • 应用CEVSM生成的ECG数据来增强MI诊断的数据集.

主要成果:

  • 与传统模型相比,CEVSM显著减少了计算时间.
  • 在ECG模拟中,SRTM方法实现了高保真性和与黄金标准的一致性.
  • 使用CEVSM生成的数据进行数据增强可以提高MI定位的准确性.

结论:

  • CEVSM提供了一种高效可靠的方法来生成ECG样本,适合数据增强.
  • 该模型促进了对MI的智能诊断系统的开发.
  • 生命系统模拟显示出对培训医疗大模型的希望.