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相关概念视频

Electrocardiogram01:29

Electrocardiogram

7.3K
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...
7.3K
Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

14.0K
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...
14.0K
Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

1.8K
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...
1.8K
ECG Interpretation of Rhythms01:24

ECG Interpretation of Rhythms

16.8K
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....
16.8K
Cardiac Action Potential01:30

Cardiac Action Potential

8.0K
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
8.0K
Electrophysiology of Normal Cardiac Rhythm01:19

Electrophysiology of Normal Cardiac Rhythm

10.0K
The normal cardiac rhythm is a synchronized electrical activity that facilitates the regular and coordinated contraction of the heart muscle. This process is essential for efficient blood circulation throughout the body. The fundamental elements involved in establishing and maintaining this rhythm include the unique electrical properties of cardiac muscle cells, the sinoatrial (SA) node's pacemaker function, the specialized conducting system, and the ionic mechanisms underlying each phase...
10.0K

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相关实验视频

Updated: Mar 12, 2026

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

Published on: May 23, 2021

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驼:一个心电图语言模型用于预测心脏事件.

Neelay Velingker, Alaia Solko-Breslin, Mayank Keoliya

    ArXiv
    |March 11, 2026
    PubMed
    概括

    我们介绍了CAMEL,一种新的心电图语言模型,能够通过分析更长的心电图信号持续时间来预测未来的心脏事件. 这一突破使得心血管疾病的早期干预成为可能.

    科学领域:

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

    背景情况:

    • 电心电图 (ECG) 对于诊断心脏病至关重要.
    • 电脑心电图语言模型 (ELM) 在电脑心电图分类和报告生成方面表现有前途.
    • 目前的ELM缺乏预测未来心脏事件的能力.

    研究的目的:

    • 开发第一个具有预测能力的ECG语言模型 (ELM).
    • 为了能够预测未来的心脏事件进行主动干预.
    • 推出CAMEL,一个专为更长时间的心电图信号分析而设计的ELM.

    主要方法:

    • 开发了CAMEL,一种带有专用ECG编码器的ELM,用于跨模态信号-文本理解.
    • 雇员的LoRA适应和课程学习管道用于培训.
    • 在培训课程中包括了心电图分类,指标计算和对话推理.

    主要成果:

    • 在6个任务和9个数据集中,CAMEL实现了强大的零射击性能.
    • 推出了ECGForecastBench,这是预测心律失常的新基准.
    • 在ECGBench和ECGForecastBench上,CAMEL的表现优于现有的ELM和完全监督模型.

    更多相关视频

    Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function
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    Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations
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    Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations

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    相关实验视频

    Last Updated: Mar 12, 2026

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

    Published on: May 23, 2021

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    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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    Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations
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    Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations

    Published on: January 8, 2013

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    结论:

    • 卡梅尔是第一个能够预测未来心脏事件的ELM.
    • 专门的ECG编码器有助于ECG信号和文本的交叉理解.
    • 卡梅尔在心电图分析和预测方面设定了新的最先进的技术.