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

2.6K
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...
2.6K
Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

7.6K
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...
7.6K
Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

671
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...
671
Instrumentation Amplifier01:25

Instrumentation Amplifier

654
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...
654
ECG Interpretation of Rhythms01:24

ECG Interpretation of Rhythms

2.2K
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....
2.2K
Pulse rhythm01:30

Pulse rhythm

872
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...
872

You might also read

Related Articles

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

Sort by
Same author

Gelatin-Based Multifunctional Hydrogels for Sports Injury Repair: Musculoskeletal and Nervous System Perspectives.

Gels (Basel, Switzerland)·2026
Same author

Musculoskeletal Ultrasound and Protein-Based Hydrogels: Novel Approaches for the Diagnosis and Treatment of Sports Injuries.

Polymers·2026
Same author

Thyroid diseases and risk of peripheral neuropathy in a large population-based cohort: evidence from the UK Biobank.

Frontiers in endocrinology·2026
Same author

Integrating intermittent ultrasound with micro-nanobubbles for enhanced reduction of pathogenic bacteria during fresh-cut lotus root sanitation.

Food research international (Ottawa, Ont.)·2026
Same author

Integrative research on technology-assisted physical activity and biological aging: a review of wearable sensors, tele-exercise platforms, and aging biomarkers.

Frontiers in medicine·2026
Same author

Large Language Model-Guided Design of Anti-Swelling Hybrid Dual Network Membranes for Long-Duration Alkaline Zinc Iron Flow Batteries.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same journal

The SGLT2i "canagliflozin" and the DPP-4i "sitagliptin" mitigate hypertensive nephropathy in adult male rats by modulating the Ang II/RAGE/Nox4/NLRP3 cascade.

Frontiers in physiology·2026
Same journal

Integrated anthropometric correlates of planned change-of-direction performance (T-test) in male badminton players: a partial least squares regression study.

Frontiers in physiology·2026
Same journal

From biaxial tests to cardiac digital twins: a morphomechanics agenda for passive myocardium.

Frontiers in physiology·2026
Same journal

A gradient-based optimization model for predicting decompression sickness risk.

Frontiers in physiology·2026
Same journal

What role does the Notch signaling pathway play in exercise-related metabolic and neurological adaptations? A molecular-to-systems perspective.

Frontiers in physiology·2026
Same journal

Variation in skin barrier function throughout smoltification in Atlantic salmon (<i>Salmo salar</i>).

Frontiers in physiology·2026
See all related articles

Related Experiment Video

Updated: Aug 8, 2025

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

2.0K

Knowledge graph analysis and visualization of artificial intelligence applied in electrocardiogram.

Mengting Yang1,2,3, Hongchao Zhang4, Weichao Liu1

  • 1Key Laboratory of Medical Electrophysiology, Ministry of Education and Medical Electrophysiological Key Laboratory of Sichuan Province, Collaborative Innovation Center for Prevention of Cardiovascular Diseases, Institute of Cardiovascular Research, Southwest Medical University, Luzhou, China.

Frontiers in Physiology
|February 27, 2023
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) in electrocardiogram (ECG) research has rapidly expanded. Bibliometric analysis reveals key trends, leading institutions, and emerging research focuses like deep learning.

Keywords:
CiteSpaceVOSviewerartificial intelligence (AI)electrocardiogram (ECG)knowledge graph analysis

More Related Videos

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

3.8K
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

414

Related Experiment Videos

Last Updated: Aug 8, 2025

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

2.0K
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

3.8K
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

414

Area of Science:

  • Biomedical Engineering
  • Computer Science
  • Artificial Intelligence

Background:

  • Electrocardiogram (ECG) is a non-invasive tool for disease classification, biometrics, and emotion recognition.
  • Artificial intelligence (AI) is increasingly vital in advancing ECG research and applications.

Purpose of the Study:

  • To analyze the development of AI in ECG research using bibliometric and visual knowledge graph methods.
  • To identify key trends, influential publications, and research hotspots in AI-ECG literature.

Main Methods:

  • Bibliometric analysis of 2,229 publications from Web of Science Core Collection until 2021.
  • Visualization analysis using CiteSpace and VOSviewer for co-authorship, co-occurrence, and co-citation.
  • Exploration of countries, institutions, authors, journals, categories, references, and keywords.

Main Results:

  • Significant increase in AI-ECG publications and citations in the last four years.
  • China leads in publications; Singapore has the highest average citations per article.
  • Key research areas include deep learning, attention mechanisms, and data augmentation.

Conclusions:

  • AI is a rapidly growing field in ECG research with increasing global collaboration.
  • Identifying leading contributors and research trends aids future AI-ECG development.
  • Deep learning and related techniques are current focal points in AI-ECG applications.