Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Dysrhythmias III: Characteristics of Dysrhythmias01:29

Dysrhythmias III: Characteristics of Dysrhythmias

601
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...
601
Disturbances in Heart Rhythm01:29

Disturbances in Heart Rhythm

3.4K
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...
3.4K
Electrophysiology of Normal Cardiac Rhythm01:19

Electrophysiology of Normal Cardiac Rhythm

10.0K
The normal cardiac rhythm is a synchronized electrical activity that facilitates the regular and coordinated contraction of the heart muscle. This process is essential for efficient blood circulation throughout the body. The fundamental elements involved in establishing and maintaining this rhythm include the unique electrical properties of cardiac muscle cells, the sinoatrial (SA) node's pacemaker function, the specialized conducting system, and the ionic mechanisms underlying each phase...
10.0K
Dysrhythmias IV: Characteristics of Bradyarrhythmias01:18

Dysrhythmias IV: Characteristics of Bradyarrhythmias

717
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...
717
ECG Interpretation of Arrhythmias II: Atrial, Junctional and Ventricular Arrhythmias01:25

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

770
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...
770
Cardiac Action Potential01:30

Cardiac Action Potential

8.0K
Cardiac action potentials are essential for proper heart function, enabling the rhythmic contractions needed for adequate blood circulation. Nodal cells and Purkinje fibers, specialized for electrical conduction, generate these action potentials.
The cardiac action potential process involves a series of phases characterized by the movement of ions across the cardiac cell membranes, leading to the depolarization and repolarization of the cardiac myocytes.
Ionic Basis of Cardiac Action Potentials
8.0K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Injured Cardiac Tissue-Targeted Delivery of TGFβ1 siRNA by FAP Aptamer-Functionalized Extracellular Vesicles Promotes Cardiac Repair.

International journal of nanomedicine·2025
Same author

Extended Period Outcomes of Posterior Box Isolation in 4 Randomized Atrial Fibrillation Catheter Ablation Trials.

JACC. Asia·2025
Same author

Racial differences and similarities in atrial fibrillation epidemiology and risk factors in UK Biobank and Korean NHIS-HEALS cohort studies.

Heart rhythm·2025
Same author

Abelacimab versus Rivaroxaban in Patients with Atrial Fibrillation.

The New England journal of medicine·2025
Same author

Associations of accelerometer-derived moderate-to-vigorous physical activity and atrioventricular block in a healthy elderly population.

Heart rhythm·2025
Same author

Novel algorithm for non-invasive estimation of left atrial pressure in patients with atrial fibrillation.

European heart journal. Cardiovascular Imaging·2024

Related Experiment Video

Updated: Mar 11, 2026

High-Resolution Endocardial and Epicardial Optical Mapping in a Sheep Model of Stretch-Induced Atrial Fibrillation
09:17

High-Resolution Endocardial and Epicardial Optical Mapping in a Sheep Model of Stretch-Induced Atrial Fibrillation

Published on: July 29, 2011

15.3K

A New Efficient Method for Detecting Phase Singularity in Cardiac Fibrillation.

Young-Seon Lee1, Jun-Seop Song1, Minki Hwang1

  • 1Yonsei University Health System, Seoul, Korea.

Plos One
|December 2, 2016
PubMed
Summary
This summary is machine-generated.

A new location-centric method accurately detects points of phase singularity (PS) in cardiac fibrillation models. This novel algorithm is significantly more efficient than the conventional Iyer-Gray method, improving computational speed for clinical electrophysiology.

More Related Videos

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
10:17

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System

Published on: April 11, 2025

2.0K
A Model of Long-Term Ventricular Fibrillation in Isolated Rat Hearts
07:56

A Model of Long-Term Ventricular Fibrillation in Isolated Rat Hearts

Published on: February 17, 2023

1.4K

Related Experiment Videos

Last Updated: Mar 11, 2026

High-Resolution Endocardial and Epicardial Optical Mapping in a Sheep Model of Stretch-Induced Atrial Fibrillation
09:17

High-Resolution Endocardial and Epicardial Optical Mapping in a Sheep Model of Stretch-Induced Atrial Fibrillation

Published on: July 29, 2011

15.3K
Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
10:17

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System

Published on: April 11, 2025

2.0K
A Model of Long-Term Ventricular Fibrillation in Isolated Rat Hearts
07:56

A Model of Long-Term Ventricular Fibrillation in Isolated Rat Hearts

Published on: February 17, 2023

1.4K

Area of Science:

  • Computational electrophysiology
  • Cardiac electrophysiology
  • Biomedical engineering

Background:

  • Points of phase singularity (PS) are crucial for understanding cardiac fibrillation dynamics, potentially representing rotor cores.
  • Efficient and robust detection of PS is vital for clinical electrophysiology applications.
  • Current methods for PS detection face computational efficiency challenges.

Purpose of the Study:

  • To develop and evaluate a novel, highly efficient, and robust algorithm for detecting points of phase singularity (PS).
  • To compare the performance of the proposed location-centric method against the conventional Iyer-Gray method in computational models of cardiac fibrillation.

Main Methods:

  • The study contrasts the conventional Iyer-Gray method (line integral of phase) with a new location-centric method that identifies phase discontinuity points.
  • Both methods were tested on a 2D mathematical model of atrial fibrillation (AF), including scenarios with and without ionic current remodeling.

Main Results:

  • The location-centric and Iyer-Gray methods demonstrated strong agreement in PS point localization and trajectory, with Hausdorff distances of 3.30 ± 0.0 mm (control) and 1.64 ± 0.09 mm (remodeling).
  • The location-centric method exhibited significantly superior computational efficiency, achieving run times 28.6-fold and 28.2-fold shorter than the Iyer-Gray method under control and remodeling conditions, respectively.

Conclusions:

  • A novel location-centric method for calculating points of phase singularity (PS) has been developed.
  • This new method offers robust detection and substantially improved computational efficiency compared to the conventional Iyer-Gray approach.
  • The findings suggest potential for enhanced real-time analysis in clinical electrophysiology.