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

1.3K
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...
1.3K
Electrocardiogram01:29

Electrocardiogram

5.2K
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...
5.2K
Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

11.4K
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...
11.4K
Dysrhythmias V: Evaluating Dysrhythmias01:30

Dysrhythmias V: Evaluating Dysrhythmias

267
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...
267

You might also read

Related Articles

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

Sort by
Same author

Continuous Opioid Infusion Among Patients Who Receive Mechanical Ventilation and Who Transition to Comfort-Focused Care.

CHEST critical care·2026
Same author

Trends in Use of IV Vitamin C Among Patients With Sepsis: Erratum.

Critical care medicine·2026
Same author

Vasoactive regimens and outcomes in patients with septic shock: an observational cohort study.

Annals of the American Thoracic Society·2026
Same author

Improved agreement between in-hospital and time-delimited mortality by including hospice discharges.

Annals of the American Thoracic Society·2026
Same author

The Edge of Glory: Threshold-Based Clinical Decisions as Opportunities to Evaluate the Effectiveness Clinical Interventions.

Critical care medicine·2026
Same author

Trends in discharge to hospice after critical illness among US Medicare beneficiaries, 2011-2023.

Annals of the American Thoracic Society·2026

Related Experiment Video

Updated: Jan 3, 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

1.5K

VERB: VFCDM-Based Electrocardiogram Reconstruction and Beat Detection Algorithm.

Syed Khairul Bashar1, Allan J Walkey2, David D McManus3

  • 1University of Connecticut, Storrs, CT, USA.

IEEE Access : Practical Innovations, Open Solutions
|November 20, 2019
PubMed
Summary
This summary is machine-generated.

A new ECG analysis method accurately detects QRS complex peaks using variable frequency complex demodulation (VFCDM). This advanced signal processing technique achieves high accuracy, outperforming existing tools on multiple datasets.

Keywords:
ElectrocardiogramQRS complexT-wavepeak detectionsignal reconstructionvariable frequency complex demodulation

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

4.2K
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

2.9K

Related Experiment Videos

Last Updated: Jan 3, 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

1.5K
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

4.2K
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

2.9K

Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Cardiology

Background:

  • Accurate QRS complex peak detection is crucial for electrocardiogram (ECG) analysis.
  • Existing methods face challenges in precision and robustness across diverse ECG datasets.

Purpose of the Study:

  • To introduce a novel ECG QRS peak detection method using variable frequency complex demodulation (VFCDM).
  • To enhance accuracy and reliability in identifying QRS complex peaks.

Main Methods:

  • ECG signal reconstruction via VFCDM to isolate QRS frequency components.
  • Dual-sided peak detection followed by cross-validation to minimize false positives.
  • Application of position-dependent adaptive thresholds for final false peak removal.

Main Results:

  • Achieved 99.94% sensitivity and 99.95% positive predictive value on the MIT-BIH arrhythmia dataset.
  • Demonstrated superior accuracy compared to the BioSig Matlab toolbox on MIMIC III, UMass AFib, and SCUBA diving datasets.
  • Reported a low detection error rate of 0.11% on the MIT-BIH dataset.

Conclusions:

  • The proposed VFCDM-based method offers a highly accurate and robust solution for QRS complex peak detection.
  • This novel approach shows significant potential for improving automated ECG interpretation and arrhythmia analysis.
  • The algorithm's consistent high performance across varied datasets underscores its clinical applicability.