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

Factors Influencing Heart Rate01:30

Factors Influencing Heart Rate

6.9K
The heart rate, or pulse rate, is a vital indicator of cardiovascular health. It reflects the number of times the heart beats per minute. Various physiological and environmental factors influence heart rate, increasing or decreasing cardiac output. Understanding these factors is crucial for assessing heart function and identifying potential health issues.
Let us explore the significant factors affecting heart rate, including age, body temperature, posture, acute pain, chemical influences,...
6.9K
Exercise Stress Test01:26

Exercise Stress Test

1.5K
Introduction
Exercise stress testing, commonly known as a treadmill test, is a noninvasive procedure used to evaluate cardiovascular function and diagnose heart conditions.
Definition
An exercise stress test measures the heart's response to exertion using a treadmill or stationary bicycle. Chest electrodes record the heart's electrical activity through an ECG, and blood pressure is monitored regularly.
Purposes
1.5K
Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

13.3K
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...
13.3K
Electrocardiogram01:29

Electrocardiogram

6.8K
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...
6.8K

You might also read

Related Articles

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

Sort by
Same author

The 2026 global roadmap for textile-integrated wearable technologies in health.

Physiological measurement·2026
Same author

Risk Stratification of Patients With Type 2 Long-QT Syndrome Through Analysis of T-Wave Morphology.

Journal of the American Heart Association·2026
Same author

Clinical value of ECG-derived markers for risk stratification in sudden cardiac arrest due to Chagas cardiomyopathy.

Revista espanola de cardiologia (English ed.)·2026
Same author

Circulating microRNA signatures associated with atrial remodeling in endurance athletes with PAFIYAMA syndrome: A case-control study.

Progress in cardiovascular diseases·2026
Same author

Spinal motor neuron pools may be partly driven by impulsive common inputs.

The Journal of physiology·2026
Same author

Cardiac magnetic resonance tissue characterization in endurance athletes with paroxysmal atrial fibrillation phenotype (PAFIYAMA).

International journal of cardiology·2026

Related Experiment Video

Updated: Feb 22, 2026

Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions
08:12

Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions

Published on: June 5, 2019

20.6K

Methodological framework for heart rate variability analysis during exercise: application to running and cycling

David Hernando1,2, Alberto Hernando3,4, Jose A Casajús5,6,7

  • 1Biomedical Signal Interpretation, Computational Simulation (BSICoS) Group at the Aragón Institute of Engineering Research (I3A), IIS Aragón, University of Zaragoza, Zaragoza, Spain. dhernand@unizar.es.

Medical & Biological Engineering & Computing
|September 27, 2017
PubMed
Summary

This study presents a new method for analyzing heart rate variability (HRV) during exercise, improving accuracy. The findings show significant changes in high-frequency power and cardiolocomotor coupling during various exercise intensities and types.

Keywords:
Cardiolocomotor couplingNon-stationary analysisPedalling cadenceStride cadence

More Related Videos

Software for Analysis of Heart Rate and Blood Pressure Time-series Data from the Valsalva Maneuver
14:28

Software for Analysis of Heart Rate and Blood Pressure Time-series Data from the Valsalva Maneuver

Published on: June 27, 2025

1.1K
Autonomic Function Following Concussion in Youth Athletes: An Exploration of Heart Rate Variability Using 24-hour Recording Methodology
05:48

Autonomic Function Following Concussion in Youth Athletes: An Exploration of Heart Rate Variability Using 24-hour Recording Methodology

Published on: September 21, 2018

10.6K

Related Experiment Videos

Last Updated: Feb 22, 2026

Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions
08:12

Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions

Published on: June 5, 2019

20.6K
Software for Analysis of Heart Rate and Blood Pressure Time-series Data from the Valsalva Maneuver
14:28

Software for Analysis of Heart Rate and Blood Pressure Time-series Data from the Valsalva Maneuver

Published on: June 27, 2025

1.1K
Autonomic Function Following Concussion in Youth Athletes: An Exploration of Heart Rate Variability Using 24-hour Recording Methodology
05:48

Autonomic Function Following Concussion in Youth Athletes: An Exploration of Heart Rate Variability Using 24-hour Recording Methodology

Published on: September 21, 2018

10.6K

Area of Science:

  • Physiology
  • Exercise Science
  • Biomedical Engineering

Background:

  • Heart rate variability (HRV) analysis is crucial for assessing autonomic nervous system (ANS) function.
  • Standard HRV methodologies are well-established for resting conditions but less so for exercise.
  • Exercise introduces non-stationarity and cardiolocomotor coupling (CC) that complicate traditional HRV analysis.

Purpose of the Study:

  • To propose a novel methodological framework for HRV analysis specifically during exercise.
  • To address the non-stationary nature of HRV during physical activity.
  • To incorporate respiratory information and correct for CC effects in HRV analysis.

Main Methods:

  • Developed a new HRV analysis framework accounting for exercise-induced non-stationarity.
  • Integrated simultaneous recording of ECG, respiratory frequency, and oxygen consumption.
  • Applied the methodology to 23 male subjects during maximal and submaximal running and cycling tests.

Main Results:

  • The proposed method significantly modified high-frequency (HF) power estimations compared to standard fixed-band approaches.
  • HF power showed a 20-40% increase during medium to high exercise levels and recovery.
  • Cycling resulted in approximately 40% higher HF power than running, with CC power being 20% stronger during running.

Conclusions:

  • The novel HRV framework provides a more accurate assessment of autonomic function during exercise.
  • Exercise intensity and modality (running vs. cycling) distinctly impact HRV parameters like HF power and CC.
  • This methodology enhances our understanding of physiological responses to physical exertion.