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Related Concept Videos

ECG Interpretation of Arrhythmias II: Atrial, Junctional and Ventricular Arrhythmias01:25

ECG Interpretation of Arrhythmias II: Atrial, Junctional and Ventricular Arrhythmias

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Arrhythmia is a condition characterized by an irregular heart rhythm, with ECG changes that differ based on its origin and nature. The types of arrhythmias discussed below include atrial, junctional, and ventricular arrhythmias.Atrial ArrhythmiasPremature Atrial Complexes (PACs): PACs are early atrial beats caused by stress, caffeine, alcohol, electrolyte imbalances, hypoxia, hyperthyroidism, or certain medications (e.g., bronchodilators and decongestants). The ECG shows early P waves with an...
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Dysrhythmias III: Characteristics of Dysrhythmias01:29

Dysrhythmias III: Characteristics of Dysrhythmias

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Dysrhythmias, also known as arrhythmias, are irregular heart rhythms that result from abnormal electrical activity in the heart, affecting its ability to circulate blood efficiently. Tachyarrhythmias, a subset of dysrhythmias, are characterized by abnormally fast heart rates exceeding 100 beats per minute. Here are some types of tachyarrhythmias with their distinct ECG features:Sinus Tachycardia:Sinus tachycardia presents a regular heart rhythm with an increased rate of 101-180 beats per...
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Disturbances in Heart Rhythm01:29

Disturbances in Heart Rhythm

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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 heart...
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Dysrhythmias IV: Characteristics of Bradyarrhythmias01:18

Dysrhythmias IV: Characteristics of Bradyarrhythmias

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Bradyarrhythmias are cardiac rhythm disorders characterized by a slower-than-normal heart rate, typically defined as fewer than 60 beats per minute. Some of which are discussed here:Sinus BradycardiaSinus bradycardia presents a heart rate lower than 60 beats per minute, with a regular rhythm originating from the SA node. The ECG typically shows normal P waves preceding each QRS complex, a normal PR interval (0.12 to 0.20 seconds), and a normal QRS duration (0.06 to 0.10 seconds).First-Degree AV...
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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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Pulse rhythm01:30

Pulse rhythm

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Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
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Related Experiment Video

Updated: Mar 20, 2026

Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation
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P-wave Variability and Atrial Fibrillation.

Federica Censi1, Ivan Corazza2, Elisa Reggiani2

  • 1Technology and Health Dept., Italian National Institute of Health, Rome, 00161, Italy.

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|May 27, 2016
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Summary

Analyzing P-wave variability over time offers new insights into atrial fibrillation (AF) risk. A novel Cross-Correlation Index (CCI) effectively identifies AF patients with high accuracy.

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Area of Science:

  • Cardiology
  • Biomedical Signal Processing
  • Medical Informatics

Background:

  • P-wave template analysis is crucial for Atrial Fibrillation (AF) risk stratification.
  • Understanding P-wave variability over time is key to improving AF detection and management.

Purpose of the Study:

  • To evaluate the potential of analyzing P-wave variability over time in patients with atrial fibrillation.
  • To introduce and assess novel indices for quantifying P-wave variability in persistent AF.

Main Methods:

  • Extracted P-wave features and developed three novel variability indices: Cross-Correlation Index (CCI), Amplitude Dispersion Index (ADI), and Warping Index (WI).
  • Quantified P-wave variability using three distinct algorithms.
  • Compared AF patients with control subjects based on P-wave characteristics.

Main Results:

  • AF patients exhibited longer P-wave duration, increased fragmentation, and higher variability compared to controls.
  • The Cross-Correlation Index (CCI) demonstrated high sensitivity (97.3%) and good specificity (95%).
  • Novel indices like ADI and WI also provided insights into P-wave alterations in AF.

Conclusions:

  • P-wave variability analysis, particularly using the CCI, is a promising tool for AF risk stratification.
  • The developed indices offer a quantitative method to assess electrophysiological changes associated with atrial fibrillation.
  • This approach can enhance the diagnostic accuracy and understanding of atrial fibrillation pathophysiology.