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

2.1K
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...
2.1K
Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

482
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...
482
Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

3.3K
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...
3.3K
ECG Interpretation of Rhythms01:24

ECG Interpretation of Rhythms

424
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....
424

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

Enhanced Fracture Toughness in Diamond/B<sub>4</sub>C Composites Through Residual-Stress-Induced Crack Deflection.

Materials (Basel, Switzerland)·2026
Same author

Clinical Characteristics and Risk Factors for Mortality in Candidemia: A Retrospective Single-Center Study in China.

Infection and drug resistance·2026
Same author

Vaccination practice and safety in children with special health care needs: A retrospective study of 1278 children.

Human vaccines & immunotherapeutics·2026
Same author

Short-term outcomes of intracranial angioplasty with the Neuroform EZ stent in patients with hypoperfusion-related symptomatic intracranial atherosclerotic stenosis.

BMC neurology·2026
Same author

Ethical considerations and management strategies for fertility preservation in women of reproductive age with malignant tumors: Chinese practices and perspectives.

Frontiers in endocrinology·2026
Same author

Ultra-Stable 2D Magneto-Fluorescent Probe-Mediated Multiplex Immunochromatographic Assay for Precise Bedside Detection of Sepsis.

ACS nano·2026

相关实验视频

Updated: May 29, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

478

电心电图-LM:用大语言模型理解心电图.

Kai Yang1, Massimo Hong1,2, Jiahuan Zhang1

  • 1Institute for AI Industry Research (AIR), Tsinghua University, Beijing, China.

Health data science
|February 5, 2025
PubMed
概括

一个新的心电图语言模型 (ECG-LM) 将心电图 (ECG) 数据与患者信息相结合,以改善心血管疾病的检测和问题解答.

更多相关视频

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

3.6K
Recording Human Electrocorticographic ECoG Signals for Neuroscientific Research and Real-time Functional Cortical Mapping
13:32

Recording Human Electrocorticographic ECoG Signals for Neuroscientific Research and Real-time Functional Cortical Mapping

Published on: June 26, 2012

25.7K

相关实验视频

Last Updated: May 29, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

478
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

3.6K
Recording Human Electrocorticographic ECoG Signals for Neuroscientific Research and Real-time Functional Cortical Mapping
13:32

Recording Human Electrocorticographic ECoG Signals for Neuroscientific Research and Real-time Functional Cortical Mapping

Published on: June 26, 2012

25.7K

科学领域:

  • 人工智能的人工智能
  • 生物医学工程 生物医学工程
  • 心脏病学 心脏病学

背景情况:

  • 电心电图 (ECG) 对于监测心脏病状况至关重要,但需要专家解释.
  • 目前的深度学习模型很难将心电图与患者数据相结合,以获得细微的临床见解.
  • 解释ECG与患者数据一起是复杂且资源密集的.

研究的目的:

  • 开发第一个能够处理自然语言和心电图信号的多式大型语言模型 (LLM).
  • 加强心血管疾病的检测,并提供先进的ECG相关问题答案能力.
  • 解决ECG分析中现有的深度学习方法的局限性.

主要方法:

  • 开发了ECG语言模型 (ECG-LM),一个带有专用ECG编码器的多式联络式LLM.
  • 将ECG信号特征与LLM课程的文本特征对齐.
  • 创建了一个预训练数据集,使用文本-心电图对的医疗指南.
  • 用临床对话和真实医院数据微调模型.

主要成果:

  • 在心血管疾病检测方面,ECG-LM超越了现有的少数射击和零射击模型.
  • 在诊断,节奏和形式任务中表现出卓越的性能.
  • 在ECG相关问题解答方面表现出强大的潜力.

结论:

  • ECG-LM有效地捕捉到复杂的ECG特征.
  • 该模型在疾病预测和高级问题答案方面提供了多功能性.
  • 这代表了人工智能驱动的ECG分析的重大进步.