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

Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

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...
Electrophysiology of Normal Cardiac Rhythm01:19

Electrophysiology of Normal Cardiac Rhythm

The normal cardiac rhythm is a synchronized electrical activity that facilitates the regular and coordinated contraction of the heart muscle. This process is essential for efficient blood circulation throughout the body. The fundamental elements involved in establishing and maintaining this rhythm include the unique electrical properties of cardiac muscle cells, the sinoatrial (SA) node's pacemaker function, the specialized conducting system, and the ionic mechanisms underlying each phase of...
ECG Interpretation of Rhythms01:24

ECG Interpretation of Rhythms

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. When...
Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

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 to...

You might also read

Related Articles

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

Sort by
Same author

A Short-term High-fat Diet Induced Acute Postoperative Pain Priming Through Impairing SerpinB6 Protein-Mediated M2 Macrophage Polarization.

Neuropharmacology·2026
Same author

Impact of IFN-γ-Pretreated Umbilical Cord Mesenchymal Stem Cells Implanted in Mesh on Pelvic Organ Prolapse.

Tissue engineering. Part A·2026
Same author

Chlorination of Clothianidin During Disinfection: Kinetics, Pathways, and Toxicity.

Toxics·2026
Same author

AM-PM conversion in the residual phase noise of two-point electro-optical frequency division.

Optics letters·2026
Same author

Meiotic gene variants contribute to recurrent blastulation failure.

Human reproduction open·2026
Same author

Circulating Tumor DNA in Tracking Minimal Residual Disease and Recurrence in Ovarian Cancer: A Retrospective Cohort.

Cancer investigation·2026

Related Experiment Video

Updated: Jul 2, 2026

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
08:51

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

Study on connectivity between coherent central rhythm and electromyographic activities.

Fei Meng1, Kai-yu Tong, Suk-tak Chan

  • 1Department of Biomedical Engineering, Tsinghua University, Beijing 100084, People's Republic of China.

Journal of Neural Engineering
|August 30, 2008
PubMed
Summary

Afferent sensory feedback plays a role in cortico-muscular coherence (CMCoh) generation. This study used advanced modeling to reveal causal links between brain activity and muscle signals, highlighting feedback

More Related Videos

Using Wavelet Entropy to Demonstrate how Mindfulness Practice Increases Coordination between Irregular Cerebral and Cardiac Activities
08:08

Using Wavelet Entropy to Demonstrate how Mindfulness Practice Increases Coordination between Irregular Cerebral and Cardiac Activities

Published on: May 10, 2017

Related Experiment Videos

Last Updated: Jul 2, 2026

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
08:51

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

Using Wavelet Entropy to Demonstrate how Mindfulness Practice Increases Coordination between Irregular Cerebral and Cardiac Activities
08:08

Using Wavelet Entropy to Demonstrate how Mindfulness Practice Increases Coordination between Irregular Cerebral and Cardiac Activities

Published on: May 10, 2017

Area of Science:

  • Neuroscience
  • Motor Control
  • Biomedical Engineering

Background:

  • Cortico-muscular coherence (CMCoh) links brain and muscle activity during movement.
  • The role of afferent sensory feedback in CMCoh generation is not fully understood.

Purpose of the Study:

  • To investigate the causal influences between central neural rhythms and electromyographic (EMG) signals in CMCoh.
  • To determine the contribution of afferent sensory feedback to CMCoh.

Main Methods:

  • Utilized a multivariate autoregressive (MVAR) model and partial directed coherence (PDC) for system modeling.
  • Included brain activity from primary sensorimotor cortex (M1/S1), supplementary motor area (SMA), and extensor carpi radialis (ECR) muscle EMG signals.
  • Analyzed information flow and connectivity between neural and muscular systems.

Main Results:

  • Afferent sensory feedback was found to play a significant role in generating CMCoh.
  • Significant coherence was observed between ECR EMG signals and SMA activity in two out of five subjects.
  • Connectivity analysis indicated a descending information flow from SMA, potentially reflecting direct motoneuron recruitment.

Conclusions:

  • Afferent sensory feedback is an important contributor to CMCoh.
  • The supplementary motor area (SMA) shows significant coherence with muscle activity, suggesting its role in motor control.
  • Descending information flow from the SMA may directly influence motoneuron activation for motor control.