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

983
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...
983
Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

1.9K
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...
1.9K
ECG Interpretation of Rhythms01:24

ECG Interpretation of Rhythms

18.7K
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....
18.7K
Dysrhythmias IV: Characteristics of Bradyarrhythmias01:18

Dysrhythmias IV: Characteristics of Bradyarrhythmias

810
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...
810
Dysrhythmias III: Characteristics of Dysrhythmias01:29

Dysrhythmias III: Characteristics of Dysrhythmias

691
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...
691
Electrocardiogram01:29

Electrocardiogram

7.9K
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...
7.9K

You might also read

Related Articles

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

Sort by
Same author

Towards reliable Spanish clinical text de-identification through comparative evaluation of language model approaches.

Journal of biomedical semantics·2026
Same author

Nanostructural changes in bone quality in a mouse model of chronic kidney disease and treatment with calcitonin.

Bone reports·2025
Same author

Examining Loneliness in People With Parkinson Disease Participating in Community-based Exercise.

Journal of neurologic physical therapy : JNPT·2025
Same author

Toxocariasis in migrant children: A 6 years' experience in a reference pediatric unit in Spain.

Travel medicine and infectious disease·2022
Same author

Liver transplant with controlled donors after circulatory death with normothermic regional perfusion and brain dead donors: A multicenter cohort study of transfusion, one-year graft survival and mortality.

International journal of surgery (London, England)·2021
Same author

Recurrent Salmonella Infections and Nephritis Complicating IgA Vasculitis in a Patient with IL-12Rβ1 Deficiency.

Journal of investigational allergology & clinical immunology·2021

Related Experiment Video

Updated: Apr 1, 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

Multifractal analysis for grading complex fractionated electrograms in atrial fibrillation.

A Orozco-Duque1, D Novak, V Kremen

  • 1Bioengineering Center, Universidad Pontificia Bolivariana, Medellín, Colombia. Grupo de Investigación e Innovación Biomédica, Instituto Tecnológico Metropolitano, Medellín, Colombia.

Physiological Measurement
|October 10, 2015
PubMed
Summary

This study introduces the h-fluctuation index (hFI) to analyze complex fractionated atrial electrograms in atrial fibrillation (AF). The novel method effectively grades fractionation, aiding in identifying ablation targets for AF.

More Related Videos

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

2.2K
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

2.2K

Related Experiment Videos

Last Updated: Apr 1, 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
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

2.2K
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

2.2K

Area of Science:

  • Cardiology
  • Biomedical Engineering
  • Signal Processing

Background:

  • Complex fractionated atrial electrograms are crucial for identifying arrhythmogenic substrates in atrial fibrillation (AF).
  • The phenomenon of electrogram fractionation in AF remains poorly understood.
  • Current methods for analyzing fractionation may lack discriminatory power.

Purpose of the Study:

  • To evaluate the multifractal properties of electrograms in AF.
  • To propose a novel method, the h-fluctuation index (hFI), based on multifractal analysis to discriminate between different levels of fractionation.
  • To assess the utility of hFI in guiding catheter ablation for AF.

Main Methods:

  • Utilized two multifractal frameworks: multifractal detrended fluctuation analysis and wavelet transform modulus maxima.
  • Introduced the h-fluctuation index (hFI), derived from the generalized Hurst exponent, to analyze the multifractal spectrum shape.
  • Validated hFI on synthetic signals and a database of AF electrograms categorized by four degrees of fractionation.

Main Results:

  • The h-fluctuation index (hFI) demonstrated superior performance in grading fractionation compared to other existing indexes.
  • Multifractal analysis proved effective in characterizing fractionation phenomena in AF electrograms.
  • hFI successfully discriminated between different levels of electrogram fractionation.

Conclusions:

  • Multifractal analysis is a valuable tool for studying fractionation in AF electrograms.
  • The h-fluctuation index (hFI) shows promise as a quantitative method for grading fractionation.
  • hFI can aid in identifying target sites for catheter ablation in AF patients.