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

Heart Failure IV: Classification and Diagnostic Evaluation01:30

Heart Failure IV: Classification and Diagnostic Evaluation

313
Heart failure can be classified in various ways, with the most common classifications based on physical activity limitations, disease progression, severity, and treatment strategies.The Functional Classification of Heart Failure divides patients into four categories based on physical activity limitation due to symptom burden.Class I: Patients in this class have cardiac disease but no physical activity limitations. Ordinary activities like walking, climbing stairs, or routine tasks do not cause...
313
Heart Failure I: Introduction01:27

Heart Failure I: Introduction

676
Heart failure refers to a clinical syndrome caused by structural or functional cardiac disorders that prevent the heart from pumping an adequate amount of blood to meet the body's metabolic needs. This condition often arises from myocardial infarction or ischemia, leading to decreased cardiac output, reduced tissue perfusion, impaired gas exchange, fluid volume imbalance, and decreased functional ability.Heart failure can result from disruptions in the mechanisms that regulate cardiac output...
676
Pathophysiology of Heart Failure01:17

Pathophysiology of Heart Failure

2.8K
Heart failure (HF) is a progressive syndrome involving ventricles that leads to inadequate cardiac output. It can be classified based on location and output or ejection fraction. Ejection fraction (EF) is an essential measurement in the diagnosis and surveillance of HF. Reduced EF corresponds to systolic heart failure (HFrEF). However, HF with preserved ejection fraction (HFpEF) is becoming increasingly prevalent. Also known as diastolic HF, this form of HF is related to aging. The...
2.8K
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
Heart Failure II: Pathophysiology01:29

Heart Failure II: Pathophysiology

704
Systolic Heart Failure and Compensatory MechanismsSystolic heart failure (also termed HFrEF, Heart Failure with Reduced Ejection Fraction) is the most prevalent type of heart filure. It results in a decreased volume of blood being pumped from the ventricle. The aortic arch and carotid sinuses have baroreceptors that detect reduced blood pressure, triggering the sympathetic nervous system (SNS) to release epinephrine and norepinephrine. Initially, this response aims to boost heart rate and...
704
Cardiomyopathy III: Hypertrophic Cardiomyopathy01:29

Cardiomyopathy III: Hypertrophic Cardiomyopathy

393
Hypertrophic cardiomyopathy, or HCM, is an autosomal dominant genetic disorder characterized by asymmetric left ventricular hypertrophy without ventricular dilation. It is more common in men and is typically diagnosed in young, athletic adults.EtiologyHCM is primarily genetic and is caused by mutations in genes encoding sarcomeric proteins. Researchers have identified over 1400 mutations across at least 11 different genes. Among these, the most frequently occurring mutations are found in the...
393

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

Health Status in Heart Failure With Preserved Ejection Fraction in Asia: Insights From Global Trials.

JACC. Asia·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

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

Journal of the American College of Cardiology·2026
Same author

Sleep Apnea in Heart Failure With Mildly Reduced or Preserved Ejection Fraction: The FINEARTS-HF Trial.

JACC. Heart failure·2026
Same author

Digitalis Today: From Doctrine to Disrepute to Disciplined Reconsideration.

Journal of cardiac failure·2026
Same journal

Aortic Valve Replacement in Women of Reproductive Age.

Journal of the American College of Cardiology·2026
Same journal

Sudden Death in Cardio-Kidney-Metabolic Patients: Insights From FINE-HEART.

Journal of the American College of Cardiology·2026
Same journal

Ultra-Thin Sirolimus-Eluting Versus Everolimus-Eluting Stents in Diabetic Multivessel Coronary Artery Disease Patients: The TUXEDO-2 Trial.

Journal of the American College of Cardiology·2026
Same journal

Reframing Cardiometabolic Risk and Frailty Through Sarcopenic Obesity.

Journal of the American College of Cardiology·2026
Same journal

Imaging-Derived Sarcopenic Obesity and Cardiovascular Outcomes: Insights Into Heart Failure Risk and Muscle Biology.

Journal of the American College of Cardiology·2026
Same journal

The Measure of a Leader: Lessons in Leadership From Eugene Braunwald.

Journal of the American College of Cardiology·2026
查看所有相关文章

相关实验视频

Updated: Jan 13, 2026

Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure
05:16

Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure

Published on: June 10, 2025

522

使用人工智能从12导电图预测心力衰竭:一个HeartShare/AMP-HF聚合队列分析.

Akshay S Desai1, Ambarish Pandey2, Rohit Suratekar3

  • 1Heart and Vascular Institute, MassGeneral Brigham and Harvard Medical School, Boston, Massachusetts, USA.

Journal of the American College of Cardiology
|January 6, 2026
PubMed
概括
此摘要是机器生成的。

应用于心电图 (ECG-AI) 的人工智能在与PREVENT-HF方程相结合时,显著改善了心力衰竭 (HF) 的预测. 这种ECG-AI工具增强了针对性HF预防策略的风险分层.

关键词:
在预防-HFF.人工智能的人工智能是人工智能.电心电图 (ECG) 是一种心电图.心脏衰竭是因为心脏衰竭.风险预测风险预测

更多相关视频

Author Spotlight: Unveiling Prognostic Indicators in Heart Failure - The Role of Phase Angle and Bioelectrical Impedance Analysis
04:05

Author Spotlight: Unveiling Prognostic Indicators in Heart Failure - The Role of Phase Angle and Bioelectrical Impedance Analysis

Published on: June 30, 2023

2.7K
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

9.0K

相关实验视频

Last Updated: Jan 13, 2026

Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure
05:16

Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure

Published on: June 10, 2025

522
Author Spotlight: Unveiling Prognostic Indicators in Heart Failure - The Role of Phase Angle and Bioelectrical Impedance Analysis
04:05

Author Spotlight: Unveiling Prognostic Indicators in Heart Failure - The Role of Phase Angle and Bioelectrical Impedance Analysis

Published on: June 30, 2023

2.7K
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

9.0K

科学领域:

  • 心脏病学 心脏病学
  • 人工智能在医学中的应用
  • 预防性心脏病学 预防性心脏病学

背景情况:

  • 应用于心电图 (ECG-AI) 的人工智能提供了一种可扩展的方法来识别心力衰竭 (HF) 风险的个体.
  • 通过检测潜在的心脏功能障碍,ECG-AI可以指导预防性干预.

研究的目的:

  • 为了评估ECG-AI是否检测到缩和腹功能障碍,改善了发生的HF预测,超出了PREVENT-HF临床风险方程.
  • 评估使用ECG-AI与已确定的临床风险因素相结合的高频风险预测的增强.

主要方法:

  • 从Framingham心脏研究,MESA和CHS参与者的基线临床和心电图数据汇总.
  • 使用了经过验证的ECG-AI算法 (静脉缩的ECG-AI LEF,静脉缩功能障碍的ECG-AI DD) 和PREVENT-HF方程.
  • 使用哈雷尔的C统计和净重新分类改进评估风险歧视和重新分类.

主要成果:

  • 呈阳性复合ECG-AI屏幕的参与者显示,患高频发作的风险增加了10至20倍.
  • 将ECG-AI添加到PREVENT-HF中显著改善了1,3,5年和10年的HF风险的净重新分类.
  • 净重新分类改进在0.0860.125 (PREVENT-HF 10%的门) 和0.3270.403 (PREVENT-HF 20%的门) 之间.

结论:

  • 通过将ECG-AI与PREVENT-HF集成,可以更好地分辨近期心力衰竭风险.
  • 电脑心电图-人工智能有可能对人口水平的高频风险分层进行分层.
  • 这种方法可以促进针对心力衰竭的有针对性的预防策略的实施.