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相关概念视频

Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

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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...
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Electrocardiogram01:29

Electrocardiogram

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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...
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Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

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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...
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ECG Interpretation of Rhythms01:24

ECG Interpretation of Rhythms

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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....
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Instrumentation Amplifier01:25

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An electrocardiography (ECG) machine is an essential piece of medical equipment used to monitor the electrical activity of the heart. It operates by detecting small electrical changes on the skin that result from the depolarization of the heart muscle during each heartbeat. However, these signals are in the microvolt range and can be easily overwhelmed by noise or interference.
To overcome this challenge, an ECG machine utilizes an instrumentation amplifier. This specialized amplifier is...
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ECG Interpretation of Arrhythmias I: Sinus Arrhythmias01:16

ECG Interpretation of Arrhythmias I: Sinus Arrhythmias

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Arrhythmias are disturbances in the heart's rhythm that lead to abnormal heartbeats. These irregularities can originate from different parts of the heart and are classified based on their origin and nature.
Types of Arrhythmias
Sinus Node Arrhythmias
Sinus Bradycardia: Originating from the sinoatrial (SA) node, sinus bradycardia involves slower impulses, resulting in a heart rate of less than 60 beats per minute (bpm). Causes include sleep, vagal stimulation, beta-blockers, hypothyroidism,...
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在预期心电图模拟中细分变量的影响.

Beata Ondrusova1,2, Machteld Boonstra3, Jana Svehlikova1

  • 1Institute of Measurement Science, SAS, Bratislava, Slovakia.

Computing in cardiology
|October 6, 2023
PubMed
概括

心脏细分的变异性显著影响心电图像 (ECGI) 模拟. 即使是小的形状变化也会改变身体表面电位 (BSP) 的计算,影响心电图像的准确性.

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科学领域:

  • 生物医学工程 生物医学工程
  • 医疗成像医学成像
  • 计算心脏病学 计算心脏病学

背景情况:

  • 特定于患者的解剖模型对于心电图像 (ECGI) 非常重要.
  • 心脏细分的变化对ECGI结果的影响以前没有被研究过.
  • 了解细分变化是提高ECGI可靠性的关键.

研究的目的:

  • 为了评估心脏细分变异性对心电图像 (ECGI) 模拟的影响.
  • 量化解剖模型变化如何影响模拟身体表面电位 (BSP) 的准确性.
  • 为了确定心电图模拟结果对心脏形状不确定性的灵敏度.

主要方法:

  • 从单个患者的心脏的多个细分创建了一个统计形状模型.
  • 从这个模型中生成了262个不同的心脏几何形状.
  • 电心图像成像 (ECGI) 前进计算使用等价二极管层心脏源模型和五个心室刺激协议来模拟身体表面潜力 (BSP) 进行.

主要成果:

  • 在模拟的BSP中,使用Pearson的相关系数 (CC) 对平均心形模型进行了评估.
  • 上节奏显示了最低的BSP变化 (平均CC = 0.98 ± 0.03),而右心室自由壁节奏显示了最高的 (平均CC = 0.90 ± 0.23).
  • 与高振幅信号相比,低振幅BSP显示出更大的QRS形态变化,表明形状不确定性的显著影响.

结论:

  • 心脏形状的不确定性,源于细分的变化,显著影响心电图像 (ECGI) 的结果.
  • 冲击的程度取决于心脏节拍位置和模拟信号的幅度.
  • 这些发现凸显了需要考虑ECGI的细分变异性,以确保准确的患者特异性心脏电活动重建.