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
Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

572
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...
572
ECG Interpretation of Arrhythmias I: Sinus Arrhythmias01:16

ECG Interpretation of Arrhythmias I: Sinus Arrhythmias

213
Arrhythmias are disturbances in the heart's rhythm that lead to abnormal heartbeats. These irregularities can originate from different parts of the heart and are classified based on their origin and nature.
Types of Arrhythmias
Sinus Node Arrhythmias
Sinus Bradycardia: Originating from the sinoatrial (SA) node, sinus bradycardia involves slower impulses, resulting in a heart rate of less than 60 beats per minute (bpm). Causes include sleep, vagal stimulation, beta-blockers, hypothyroidism,...
213
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
Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

4.8K
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...
4.8K

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

Electrophysiological characterization of the Bachmann bundle region using 3D electroanatomical mapping and peak frequency analysis during pacemaker lead implantation.

Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing·2026
Same author

Pulsed Field Ablation With a Variable Loop Circular Catheter in Atrial Fibrillation: Acute Outcomes From the VARIPURE Multicenter Study.

Heart rhythm·2026
Same author

Catheter ablation of atrial fibrillation in transthyretin and light-chain cardiac amyloidosis: results from the multicentre AMYL-AF study.

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

Standardized Perioperative Thrombosis Prevention in Neonatal Modified Blalock-Taussig Shunt Surgery: An Algorithm-Based Single-Center Case Series.

Children (Basel, Switzerland)·2026
Same author

Repolarization and Activation Mapping in Ventricular Tachycardia Ablation: The REDEEM Study.

JACC. Clinical electrophysiology·2026
Same author

Incidence, Mechanistic Insights, and Ablation of Atrial Tachycardia Occurring After Pulsed Field Ablation for Atrial Fibrillation: Results From a Large International Registry.

JACC. Clinical electrophysiology·2026

相关实验视频

Updated: Jun 26, 2025

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice
06:07

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice

Published on: May 23, 2021

3.7K

使用基于心电图的深度学习预测和识别药物诱导的I型布鲁加达模式.

Paul-Adrian Călburean1,2, Luigi Pannone1, Cinzia Monaco1

  • 1Heart Rhythm Management Centre, Postgraduate Program in Cardiac Electrophysiology and Pacing Universitair Ziekenhuis Brussel, Vrije Universiteit Brussel, European Reference Networks Guard-Heart Brussels Belgium.

Journal of the American Heart Association
|May 10, 2024
PubMed
概括
此摘要是机器生成的。

一个深层卷积神经网络,BrS-Net,准确地识别了布鲁加达综合征 (BrS) 的I型模式. BrS-Net还从基线心电图中预测了BrS的发展,有助于预防心脏突然死亡.

关键词:
布鲁加达综合征是什么一个简单的测试.人工智能的人工智能是人工智能.深度学习是一种深度学习.

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

491
Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function
05:03

Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function

Published on: December 11, 2019

8.6K

相关实验视频

Last Updated: Jun 26, 2025

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice
06:07

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice

Published on: May 23, 2021

3.7K
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

491
Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function
05:03

Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function

Published on: December 11, 2019

8.6K

科学领域:

  • 心脏病学 心脏病学
  • 人工智能的人工智能
  • 医学诊断 医学诊断 医学诊断

背景情况:

  • 布鲁加达综合征 (BrS) 与健康个体的突然心脏死亡有关.
  • 药物诱导的BrS占所有BrS病例的很大一部分 (55-70%).

研究的目的:

  • 开发和评估用于布鲁加达综合征诊断的深 convolutional 神经网络 (CNN).
  • 评估CNN识别和预测BrS类型I模式的能力.

主要方法:

  • 波形分析从基线和阿贾马林输液中转换了心电图跟踪.
  • 一个称为BRS-Net的CNN受过训练,能够识别和预测BRS I型模式.
  • 该研究包括1188名接受阿贾马林测试的患者.

主要成果:

  • 在阿贾马林期间,BrS-Net在识别BrS I型模式方面取得了很高的性能 (AUC-ROC 0.945,AUC-PR 0.892).
  • 从基线心电图 (AUC-ROC 0.805,AUC-PR 0.605) 来看,BrS-Net显示了从基线心电图 (AUC-ROC 0.805,AUC-PR 0.605) 来看BrS I型发育的良好预测性能.
  • 30.3%的患者在阿贾马林输液期间出现了BrS型I模式.

结论:

  • BrS-Net有效地识别了高准确度的 BrS I 类型模式.
  • BrS-Net在预测未经选择的人群中基线ECG的BrS发展方面表现有前途.