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

Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

2.0K
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...
2.0K
Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

15.8K
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...
15.8K
Electrocardiogram01:29

Electrocardiogram

8.7K
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...
8.7K

You might also read

Related Articles

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

Sort by
Same author

Exploring the relationship between auditory processing characteristics and cognition in preschool children with developmental language disorder based on fNIRS.

Journal of neurodevelopmental disorders·2026
Same author

Causal insights of modifiable cardiovascular risk factors for dementia risk - potential for efficient prevention and improved brain health.

Atherosclerosis·2026
Same author

Phillygenin suppresses hepatocellular carcinoma progression by modulating the TNF signaling pathway and TCA cycle metabolism.

Frontiers in pharmacology·2026
Same author

Construction and evaluation of an OSCE-based standardized training model for outpatient pharmacists: A single-center study.

Currents in pharmacy teaching & learning·2026
Same author

Integrated metabolomics reveals lipid metabolites as critical regulators for compost tea-mediated metabolic regulation and quality improvement in tomatoes.

Food chemistry·2026
Same author

Application of a short amplicon triallelic SNP panel for parentage analysis of highly degraded DNA.

Forensic science international·2026
Same journal

Solvent Extraction of Metals in the Circular Economy: Enhancing Resource Efficiency and Sustainability.

TheScientificWorldJournal·2026
Same journal

Agronomic Performance and Nutritive Value Evaluation of Desho Grass Varieties Under Supplementary Irrigation in Western Oromia, Ethiopia.

TheScientificWorldJournal·2026
Same journal

Physicians' and Hospital Administrators' Perspectives of Diagnosis-Related Groups (DRGs) in High-Income Countries: A Systematic Review.

TheScientificWorldJournal·2026
Same journal

The Eco-Friendly Preparation of Se, Zn, and Ag MONPs and Their Current Medical Applications and Drug Delivery for AD Diseases.

TheScientificWorldJournal·2026
Same journal

Fear of COVID-19: A Comparative Study Among University Students in Peru.

TheScientificWorldJournal·2026
Same journal

Opportunities and Challenges of Integrating Ethiopian Traditional Medicine System Into Modern Medicine: A Narrative Review.

TheScientificWorldJournal·2026
See all related articles

Related Experiment Video

Updated: Apr 12, 2026

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

2.3K

Sparse Matrix for ECG Identification with Two-Lead Features.

Kuo-Kun Tseng1, Jiao Luo1, Robert Hegarty2

  • 1Shenzhen Key Laboratory of Internet Information Collaboration, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, Guangdong 518052, China.

Thescientificworldjournal
|May 12, 2015
PubMed
Summary
This summary is machine-generated.

This study introduces a novel electrocardiograph (ECG) identification method using two-lead signals and sparse matrices. This approach enhances biometric security by outperforming existing ECG identification techniques.

More Related Videos

Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function
05:03

Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function

Published on: December 11, 2019

9.2K
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

Related Experiment Videos

Last Updated: Apr 12, 2026

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

2.3K
Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function
05:03

Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function

Published on: December 11, 2019

9.2K
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

Area of Science:

  • Biometrics
  • Signal Processing
  • Medical Informatics

Background:

  • Electrocardiograph (ECG) human identification offers potential for enhanced biometric security.
  • Current ECG identification methods often rely on single-lead signals, necessitating advancements in feature extraction and identification accuracy.
  • Existing techniques face limitations that hinder widespread adoption in security applications.

Purpose of the Study:

  • To propose a novel algorithm for human identification using two-lead ECG signals.
  • To introduce the application of sparse matrix techniques for ECG-based identification.
  • To demonstrate the superiority of the proposed method over existing approaches.

Main Methods:

  • Mapping two-lead ECG signals onto a two-dimensional matrix.
  • Employing sparse matrix techniques for processing the ECG signal matrix.
  • Experimental validation comparing the proposed method against established techniques.

Main Results:

  • The proposed sparse matrix method applied to two-lead ECG signals achieves high accuracy in human identification.
  • Experimental results show significant improvements compared to existing single-lead ECG identification methods.
  • This work represents the first application of sparse matrix techniques in the domain of ECG identification.

Conclusions:

  • The novel algorithm utilizing two-lead ECG signals and sparse matrix processing offers a promising advancement in biometric security.
  • The method demonstrates enhanced performance and accuracy, addressing limitations of previous ECG identification techniques.
  • Sparse matrix application in ECG analysis opens new avenues for robust and reliable biometric identification systems.