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Related Concept Videos

Electrocardiogram01:29

Electrocardiogram

2.0K
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...
2.0K
Disturbances in Heart Rhythm01:28

Disturbances in Heart Rhythm

842
Arrhythmia or dysrhythmia refers to an abnormal heart rhythm caused by a defect in the heart's conduction system. It can cause the heart to beat irregularly, too quickly, or too slowly, leading to symptoms like chest pain, shortness of breath, and fainting. Factors such as stress, caffeine, alcohol, nicotine, cocaine, certain drugs, congenital defects, diseases, and electrolyte abnormalities can trigger arrhythmias.
Arrhythmias are categorized by their speed, rhythm, and origin. A slow...
842
ECG Interpretation of Arrhythmias I: Sinus Arrhythmias01:16

ECG Interpretation of Arrhythmias I: Sinus Arrhythmias

161
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,...
161
Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

471
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...
471
ECG Interpretation of Rhythms01:24

ECG Interpretation of Rhythms

393
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....
393
Mechanism of Cardiac Arrhythmias01:28

Mechanism of Cardiac Arrhythmias

867
Arrhythmias are irregular heart rhythms occurring when the heart's electrical impulses become abnormal. These disturbances can lead to various symptoms, depending on their severity and the underlying cause. Some common factors contributing to arrhythmias include hypoxia, ischemia, electrolyte imbalances, excessive catecholamine exposure, drug toxicity, and muscle overstretching. Arrhythmias can be classified into two main types based on the rate and site of origin of abnormal heart rhythms.
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Related Experiment Video

Updated: May 23, 2025

Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation
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Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation

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Risk Analysis of Atrial Fibrillation Based on ECG Phenotypes: The RAF-ECP Study Protocol.

Aiguo Wang1, Jiacheng He2, Xujian Feng2

  • 1Department of Cardiology, Xinghua City People's Hospital, Jiangsu, 225700 People's Republic of China.

Phenomics (Cham, Switzerland)
|March 10, 2025
PubMed
Summary

Electrocardiogram (ECG) phenotypes can predict atrial fibrillation (AF) risk. This study standardizes ECG phenotype assessment to develop a novel risk prediction model for AF using machine learning.

Keywords:
Atrial fibrillation riskElectrocardiogram phenotypesHeart rate variability analysisP-wave features analysisStatistical test

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Last Updated: May 23, 2025

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Area of Science:

  • Cardiology
  • Medical Informatics

Background:

  • Atrial fibrillation (AF) is a prevalent arrhythmia, often asymptomatic.
  • Electrocardiogram (ECG) variables show potential for AF risk stratification.

Purpose of the Study:

  • To systematically evaluate ECG phenotypes for AF risk assessment using the RAF-ECP protocol.
  • To standardize ECG phenotype definition and calculation for consistent research and clinical application.

Main Methods:

  • A multi-center study with 10,000 participants, collecting ECG leads I and II (10s).
  • Analysis of ECG data and baseline information using statistical tests and machine learning classifiers.
  • Development of a comprehensive AF risk assessment model.

Main Results:

  • Identification of significant risk factors for AF.
  • Generation of hazard ratios, confidence intervals, and p-values.
  • Evaluation of model performance using accuracy, sensitivity, and specificity.

Conclusions:

  • Standardized ECG phenotypes offer a novel approach to AF risk assessment.
  • Integration of statistical analysis and machine learning can advance AF prediction.
  • Multi-center collaboration is crucial for diverse and representative datasets.