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

2.2K
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...
2.2K
Cardiopulmonary Resuscitation III: AED Use01:23

Cardiopulmonary Resuscitation III: AED Use

1
Introduction to AEDAn Automated External Defibrillator (AED) is a portable medical device that analyzes the heart's rhythm and, if necessary, delivers an electrical shock to help the heart re-establish an effective rhythm during sudden cardiac arrest (SCA). SCA occurs when the heart suddenly and unexpectedly stops beating, leading to a loss of blood flow to the brain and other vital organs. In such emergencies, time is of the essence, and using an AED, combined with Cardiopulmonary...
1
Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

535
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...
535
Dysrhythmias V: Evaluating Dysrhythmias01:30

Dysrhythmias V: Evaluating Dysrhythmias

3
Dysrhythmias, also known as arrhythmias, are disturbances in the heart's rhythm that range from benign to life-threatening. A thorough evaluation is crucial for appropriate management and involves a comprehensive medical history, physical examination, and various diagnostic tests.Medical HistorySymptoms: Collect detailed information on palpitations, dizziness, syncope, chest pain, and fatigue. Note their onset, frequency, and triggers.Previous Cardiac Issues: Document any history of heart...
3
Pulse rhythm01:30

Pulse rhythm

768
Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
768

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

Authors' response to commentary on "Echocardiographic phenotypes in sepsis: identifying subgroups using latent profile analysis".

Journal of intensive care·2026
Same author

AHA/ACC/ESC/WHF Expert Consensus Document: Second Universal Definition of Heart Failure (2026).

Global heart·2026
Same author

AHA/ACC/ESC/WHF Expert Consensus Document: Second Universal Definition of Heart Failure (2026).

European heart journal·2026
Same author

AHA/ACC/ESC/WHF Expert Consensus Document: Second Universal Definition of Heart Failure (2026).

Circulation·2026
Same author

Cardio Heart Connect: Protocol for a Randomized Trial of a Commercially Available mHealth Fitness Intervention for Cardiac Rehabilitation After Transcatheter Aortic Valve Replacement.

medRxiv : the preprint server for health sciences·2026
Same author

AHA/ACC/ESC/WHF Expert Consensus Document: Second Universal Definition of Heart Failure (2026).

Journal of the American College of Cardiology·2026

相关实验视频

Updated: Jun 9, 2025

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

用人工智能启用心电图来估计死亡率和心血管风险:一个模型开发和验证研究.

Arunashis Sau1, Libor Pastika2, Ewa Sieliwonczyk3

  • 1National Heart and Lung Institute, Imperial College London, London, UK; Department of Cardiology, Imperial College Healthcare NHS Trust, London, UK.

The Lancet. Digital health
|October 25, 2024
PubMed
概括
此摘要是机器生成的。

人工智能 (AI) 支持的心电图 (ECG) 可以预测死亡风险. 新的AI-ECG风险估计器 (AIRE) 平台为个人患者提供可操作,可解释和生物可信的预测.

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

424
A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program
04:24

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

Published on: April 19, 2019

11.5K

相关实验视频

Last Updated: Jun 9, 2025

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
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

424
A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program
04:24

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

Published on: April 19, 2019

11.5K

科学领域:

  • 心脏病学 心脏病学
  • 人工智能的人工智能
  • 医疗信息学 医疗信息学

背景情况:

  • 人工智能 (AI) 支持的心电图 (ECG) 显示出预测未来疾病和死亡率的前景.
  • 目前的AI-ECG模型缺乏个体患者的可操作性,可解释性和生物可信性.
  • AI-ECG风险估计器 (AIRE) 平台是为了解决这些局限性而开发的.

研究的目的:

  • 开发一个AI-ECG平台 (AIRE),提供可操作,可解释和生物可信的风险预测.
  • 使用单个心电图,不仅可以预测死亡风险,还可以预测死亡时间.
  • 在多样化,跨国患者队伍中验证AIRE平台.

主要方法:

  • 该AIRE平台是使用深度学习和离散时间生存模型在大型二级护理数据集 (来自189539名患者的1,163,401个心电图) 上开发的.
  • 在五个不同的跨国队列中验证了AIRE,包括志愿者,初级护理和二级护理患者.
  • 进行了全现象和全基因组关联研究,以确定与预测风险相关的生物途径.

主要成果:

  • AIRE准确地预测了所有原因的死亡率 (C指数0.775在开发中,0.638-0.773在验证中).
  • 此外,AIRE还可以准确地预测未来的心室节律失常,动脉样性心血管疾病和心力衰竭.
  • 已确定的生物途径包括心脏结构/功能变化和与衰老和代谢综合征相关的基因.

结论:

  • AIRE是一个可操作,可解释和生物可信的AI-ECG风险估计平台.
  • 该平台有可能在各种情况下在全球范围内临床使用,用于短期和长期风险估计.
  • AIRE代表了人工智能驱动的心血管风险预测的重大进展.