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相关概念视频

Electrocardiogram01:29

Electrocardiogram

6.9K
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...
6.9K
Pulse rhythm01:30

Pulse rhythm

1.5K
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...
1.5K
Cardiopulmonary Resuscitation III: AED Use01:23

Cardiopulmonary Resuscitation III: AED Use

855
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...
855
Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

13.5K
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...
13.5K
Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

1.6K
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...
1.6K

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相关实验视频

Updated: Feb 25, 2026

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

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人工智能启用了心电图分析来预测心力衰竭事件.

Shaan Khurshid1,2,3, Samuel F Friedman4, Shinwan Kany1,5

  • 1Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA (S. Khurshid, S. Kany, J.W.C., E.S.L., D.P., M.A.-A., J.T.R., S.A.L., P.T.E., J.E.H.).

Circulation. Heart failure
|February 23, 2026
PubMed
概括

一个新的人工智能模型,ECG-to-HF (ECG2HF),准确地预测了未来的心力衰竭 (HF) 风险,使用12个心电图. 这种公开可用的工具有助于识别个人进行预防措施.

关键词:
在ROC曲线上,ROC曲线人工智能是一种人工智能.电心电图 (ECG) 是一种心电图.心脏衰竭是因为心脏衰竭.人类人类人类人类人类人类.

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Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice
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Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
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相关实验视频

Last Updated: Feb 25, 2026

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

Published on: December 11, 2019

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Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice
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Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice

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Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
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Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System

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科学领域:

  • 心脏病学 心脏病学
  • 人工智能的人工智能
  • 预测分析是一种预测分析.

背景情况:

  • 预测心力衰竭对于预防策略至关重要.
  • 现有的专有模型显示的准确性有限或不一致.
  • 需要用于高频风险评估的可通用,公开可用的AI工具.

研究的目的:

  • 开发和验证一个公开可用的卷积神经网络 (CNN),用于预测事件高频风险.
  • 为了利用12导心电图波形进行高频风险预测.
  • 创建一个名为ECG-to-HF (ECG2HF) 的AI模型.

主要方法:

  • 开发ECG2HF使用马萨诸塞州综合医院 (MGH) 94,636名患者的数据.
  • 在三个独立的测试组 (MGH,BWH,BIDMC) 中验证了ECG2HF,涉及93,868名30-79岁的个人,没有先前的HF.
  • 使用NLP识别了10年HF事件,并通过AUC和净重新分类量化了模型性能.

主要成果:

  • 在所有测试组中,ECG2HF表现出强烈的10年HF预测,AUC从0.84到0.86.
  • 该模型显示,与聚合队列方程相比,歧视和净重新分类得到了改善.
  • 在美国东北部的大型医疗保健样本中,表现一致.

结论:

  • ECG2HF是一个经过验证的,公开可用的AI工具,用于预测来自12ECG的未来HF风险.
  • 该模型在不同患者群体中表现出有利和一致的性能.
  • ECG2HF可以为有针对性的HF预防提供有效的风险分层.