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

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

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

1.2K
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...
1.2K
Pulse rhythm01:30

Pulse rhythm

1.7K
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...
1.7K
Dysrhythmias V: Evaluating Dysrhythmias01:30

Dysrhythmias V: Evaluating Dysrhythmias

428
Dysrhythmias, also known as arrhythmias, are disturbances in the heart's rhythm that range from benign to life-threatening. A thorough evaluation is crucial for appropriate management and involves a comprehensive medical history, physical examination, and various diagnostic tests.Medical HistorySymptoms: Collect detailed information on palpitations, dizziness, syncope, chest pain, and fatigue. Note their onset, frequency, and triggers.Previous Cardiac Issues: Document any history of heart...
428
Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

2.2K
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...
2.2K
Disturbances in Heart Rhythm01:29

Disturbances in Heart Rhythm

5.5K
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...
5.5K

You might also read

Related Articles

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

Sort by
Same author

Molecular epidemiological investigation of swine hepatitis e virus (sHEV) in Guangdong Province, China: prevalence, genotypic characteristics, and zoonotic risk.

BMC veterinary research·2026
Same author

A dish-to-biobank framework links β-cell nutrient-stress programs to genetic and dietary risk for Type 2 Diabetes.

bioRxiv : the preprint server for biology·2026
Same author

Human pancreatic progenitor organoids define genetic and epigenetic barriers to early PDAC transformation.

Developmental cell·2026
Same author

A Genetically Engineered Human Organoid Model Reveals Distinct Genetic and Epigenetic Barriers of Lineage Plasticity in Early PDAC Transformation.

bioRxiv : the preprint server for biology·2026
Same author

Genomic characterization and recombination analysis of hepatitis E virus in humans and swine across Asia: implications for food safety.

Frontiers in microbiology·2026
Same author

pertTF: context-aware AI modeling for genome-scale and cross-system perturbation prediction.

bioRxiv : the preprint server for biology·2026

Related Experiment Video

Updated: May 5, 2026

Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation
08:10

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

Published on: July 20, 2022

2.9K

A novel method for real-time atrial fibrillation detection in electrocardiograms using multiple parameters.

Xiaochuan Du1, Nini Rao, Mengyao Qian

  • 1School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.

Annals of Noninvasive Electrocardiology : the Official Journal of the International Society for Holter and Noninvasive Electrocardiology, Inc
|November 21, 2013
PubMed
Summary

A new method accurately detects atrial fibrillation (AF) using f waves in ECGs, outperforming existing techniques. This advancement aids in the diagnosis and management of AF, improving patient care.

Keywords:
accuracyatrial fibrillationdetectionelectrocardiogram (ECG)real-time

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

2.4K
Rat Model of Right-Sided Cardiac Remodeling and Arrhythmia Using Pulmonary Artery Banding
10:39

Rat Model of Right-Sided Cardiac Remodeling and Arrhythmia Using Pulmonary Artery Banding

Published on: August 30, 2024

1.6K

Related Experiment Videos

Last Updated: May 5, 2026

Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation
08:10

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

Published on: July 20, 2022

2.9K
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

2.4K
Rat Model of Right-Sided Cardiac Remodeling and Arrhythmia Using Pulmonary Artery Banding
10:39

Rat Model of Right-Sided Cardiac Remodeling and Arrhythmia Using Pulmonary Artery Banding

Published on: August 30, 2024

1.6K

Area of Science:

  • Biomedical Engineering
  • Cardiology
  • Signal Processing

Background:

  • Automatic detection of atrial fibrillation (AF) in electrocardiograms (ECGs) is crucial for diagnosis and management.
  • Current AF detection methods often rely solely on RR intervals, leading to misclassification with other arrhythmias.

Purpose of the Study:

  • To introduce a novel, robust, real-time method for AF detection.
  • To improve the accuracy and reliability of AF identification in clinical settings.

Main Methods:

  • Utilized the average number of f waves within the TQ interval as a key parameter.
  • Validated the method using diverse clinical ECG data from normal, AF, and non-AF arrhythmia subjects from open-access databases.

Main Results:

  • Achieved high accuracy (93.67%), sensitivity (94.13%), and positive predictive values (PPVs) (98.69%) in distinguishing AF from normal ECGs.
  • Demonstrated superior performance in differentiating AF from non-AF arrhythmias with accuracy (94.62%), sensitivity (94.13%), and PPVs (97.67%) compared to existing methods.

Conclusions:

  • The proposed AF detection method shows significant potential as a practical clinical tool.
  • This method can aid in the diagnosis, treatment, and continuous monitoring of patients with atrial fibrillation.