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相关概念视频

Electrocardiogram01:29

Electrocardiogram

2.3K
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...
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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...
600
ECG Interpretation of Rhythms01:24

ECG Interpretation of Rhythms

932
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....
932
ECG Interpretation of Arrhythmias I: Sinus Arrhythmias01:16

ECG Interpretation of Arrhythmias I: Sinus Arrhythmias

216
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,...
216
Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

5.4K
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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Assessment of apical radial pulse01:25

Assessment of apical radial pulse

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Apical-Radial (A-R) Pulse Assessment
The A-R pulse assessment involves simultaneous evaluation of the apical and radial pulses. When the apical and radial pulse rates vary, this assessment helps identify a pulse deficit.
Pre-Procedural Preparation
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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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在VCG记录评估的代表QRS循环.

Jan Kijonka1,2, Petr Vavra2, Marek Penhaker1

  • 1Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, Ostrava, Czechia.

Frontiers in physiology
|January 19, 2024
PubMed
概括

本研究介绍了一种算法,可以从矢量心电图 (VCG) 记录中创建一个代表性的QRS循环. 该方法有效地降低了节奏对节奏的变化,有助于VCG分析和分类.

关键词:
这是一个ECGECGECGECGECG.在QRS检测检测.在 QRS 循环对齐时,QRS 循环对齐.这是VCGCG.数字过是指数字过.个人内在的个性.隔离电线检测 隔离电线检测这是一个代表性的QRS循环.

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科学领域:

  • 生物医学工程 生物医学工程
  • 心脏病学 心脏病学
  • 信号处理 信号处理

背景情况:

  • 矢量心脏图 (VCG) 为心脏电活动提供了宝贵的见解.
  • 预处理VCG信号对于准确的分析和解释至关重要.
  • 现有的方法可能会在VCG数据中的噪音和节拍变化方面扎.

研究的目的:

  • 开发和评估用于预处理VCG记录的算法.
  • 从VCG数据生成一个代表性的QRS循环.
  • 为了提高临床应用的VCG分析的准确性.

主要方法:

  • 数字过用于降低噪音.
  • 基于波形电图的ECG信任点和PQ间隔的检测.
  • 空间对齐,时间同步 (RMSE最小化) 和宫外QRS消除.
  • 以所有QRS循环的平均值计算一个代表的QRS循环.

主要成果:

  • 该算法对来自健康受试者和患有心肌梗塞和捆绑分支障碍的患者的161个VCG记录进行了评估.
  • 最大相对偏差在12.2% (健康) 到19.3% (心肌梗塞) 之间.
  • 形态变异性在同步后和子宫外节拍消除后显著减少 (以0.36-0.41的系数).

结论:

  • 拟议的算法成功地从VCG记录中生成一个代表性的QRS循环.
  • 这种代表性循环促进了VCG数据的可视化,比较和自动分类.
  • 该方法为临床诊断提供了对VCG信号预处理的可靠方法.