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

Electrocardiogram01:29

Electrocardiogram

3.3K
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...
3.3K
Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

890
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...
890
Instrumentation Amplifier01:25

Instrumentation Amplifier

721
An electrocardiography (ECG) machine is an essential piece of medical equipment used to monitor the electrical activity of the heart. It operates by detecting small electrical changes on the skin that result from the depolarization of the heart muscle during each heartbeat. However, these signals are in the microvolt range and can be easily overwhelmed by noise or interference.
To overcome this challenge, an ECG machine utilizes an instrumentation amplifier. This specialized amplifier is...
721
ECG Interpretation of Rhythms01:24

ECG Interpretation of Rhythms

4.5K
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....
4.5K
Pulse rhythm01:30

Pulse rhythm

946
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...
946
Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

8.6K
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...
8.6K

You might also read

Related Articles

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

Sort by
Same authorSame journal

[AI-Assisted ECG diagnostics : Classical test statistics still apply].

Herzschrittmachertherapie & Elektrophysiologie·2026
Same author

Fundamental Anatomy and Its Impact on Clinical Practice: The Rightward Extension of Bachmann's Bundle (Part II-III).

JACC. Case reports·2026
Same author

Genetic cardiomyopathy unmasked by pregnancy: X-linked dystrophinopathy presenting as peripartum cardiomyopathy-a case report.

European heart journal. Case reports·2026
Same author

Ventricular Fibrillation Without Hemodynamic Deterioration: An Electrocardiographic Paradox Explained by Heterotopic Heart Transplantation.

JACC. Case reports·2026
Same author

Safety and Performance of INVICTA DF4 Ventricular Defibrillation Lead: Results From APOLLO Prospective Multicenter Study.

Pacing and clinical electrophysiology : PACE·2026
Same author

MIMIC-III-Ext-PPG, a PPG-based Benchmark Dataset for Cardiovascular and Respiratory Signal Analysis.

Scientific data·2026
Same journal

[Extrasystoles in endurance athletes].

Herzschrittmachertherapie & Elektrophysiologie·2026
Same journal

[Perioperative complications during transvenous pacemaker and defibrillator implantation].

Herzschrittmachertherapie & Elektrophysiologie·2026
Same journal

Herzschrittmachertherapie & Elektrophysiologie·2026
Same journal

[Late complications after atrial fibrillation ablation : Diagnosis and management].

Herzschrittmachertherapie & Elektrophysiologie·2026
Same journal

[Position paper of the German Society of Cardiology-quality criteria for performing catheter ablation of atrial fibrillation: executive summary].

Herzschrittmachertherapie & Elektrophysiologie·2026
See all related articles

Related Experiment Video

Updated: Sep 23, 2025

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice
06:07

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice

Published on: May 23, 2021

3.9K

[Artificial intelligence-based ECG analysis: current status and future perspectives-Part 1 : Basic principles].

Wilhelm Haverkamp1,2, Nils Strodthoff3, Carsten Israel4

  • 1Abteilung für Kardiologie und Metabolismus, Medizinische Klinik mit Schwerpunkt Kardiologie, Campus Virchow-Klinikum, Charité - Universitätsmedizin Berlin, Augustenburger Platz 1, 13353, Berlin, Deutschland. wilhelm.haverkamp@charite.de.

Herzschrittmachertherapie & Elektrophysiologie
|May 13, 2022
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) is revolutionizing electrocardiogram (ECG) interpretation, overcoming limitations of traditional methods. This AI-driven approach offers new perspectives for analyzing ECG data, enhancing diagnostic capabilities.

Failed At:

2026-06-19T13:39:33.066739+00:00

Keywords:
Artificial neuronal networksDeep learningDigital healthElectrocardiographyMachine learning

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

984
Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis
08:22

Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis

Published on: April 26, 2024

2.2K

Related Experiment Videos

Last Updated: Sep 23, 2025

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice
06:07

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice

Published on: May 23, 2021

3.9K
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

984
Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis
08:22

Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis

Published on: April 26, 2024

2.2K