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Related Concept Videos

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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Disturbances in Heart Rhythm01:28

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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...
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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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Related Experiment Video

Updated: May 28, 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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Predicting Early Atrial Fibrillation Recurrence Post-Electrical Cardioversion: A Critical Look at Bilateral Atrial

Fabio Anastasio1, Guido Pastorini1, Giacomo Pucci2

  • 1Cardiology Division, Regina Montis Regalis Hospital, ASLCN1, 12084 Mondovì, Italy.

Journal of Clinical Medicine
|February 13, 2025
PubMed
Summary

Predictors of atrial fibrillation (AF) recurrence post-electrical cardioversion (ECV) were identified. Left atrial strain, TDI Doppler, right atrial valvular index, and Aix75 measured immediately after ECV are key indicators for AF recurrence.

Keywords:
antiarrhythmic drugsatrial fibrillation recurrenceelectrical cardioversionmechanism of atrial fibrillation

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Area of Science:

  • Cardiology
  • Electrophysiology
  • Medical Imaging

Background:

  • Atrial fibrillation (AF) recurrence after electrical cardioversion (ECV) is linked to atrial morpho-functional changes.
  • Identifying predictors of AF recurrence post-ECV is crucial for patient management.

Purpose of the Study:

  • To identify predictors of atrial fibrillation recurrence after successful electrical cardioversion.

Main Methods:

  • Sixty-one patients undergoing elective ECV with successful sinus rhythm conversion were assessed.
  • Cardiovascular assessment, including LA strain, TDI Doppler, RAVi, and Aix75, was performed immediately post-ECV.
  • Patients were followed for 6 months to determine AF recurrence.

Main Results:

  • AF recurrence was observed in 39.3% of patients at 6-month follow-up.
  • Non-recurrence was associated with lower right atrial valvular index (RAVi), higher left atrial (LA) strain S-R, and more pronounced Doppler velocities (a' waves).
  • A scoring system based on RAVi, average a' wave, and LA strain S-R demonstrated high accuracy (AUC 0.81) in predicting AF recurrence.

Conclusions:

  • Left atrial strain, TDI Doppler parameters, RAVi, and Aix75 are independent predictors of AF recurrence post-ECV.
  • These parameters, measured immediately after ECV, can aid in stratifying patients at higher risk for AF recurrence.