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

Assessment of blood pressure in brachial artery(two-step method)01:23

Assessment of blood pressure in brachial artery(two-step method)

659
Measuring blood pressure is a fundamental skill in healthcare that aids in diagnosing and monitoring hypertension and other cardiovascular conditions. An aneroid sphygmomanometer, commonly used in clinical settings, offers a manual and precise method for blood pressure measurement. The technique for using this instrument involves specific steps that must be carefully executed to ensure accuracy. The following detailed description outlines a two-step technique for assessing blood pressure using...
659
Pulse rhythm01:30

Pulse rhythm

769
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...
769
Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

3.5K
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...
3.5K
Assessment of blood pressure in brachial artery(one-step method)01:15

Assessment of blood pressure in brachial artery(one-step method)

556
This procedural guide systematically measures blood pressure using an oscillometric digital sphygmomanometer, emphasizing accuracy, patient safety, and comfort.
Prepare for the Procedure:
556

You might also read

Related Articles

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

Sort by
Same author

Biceps femoris long head muscle architecture in professional male soccer players with a recent history of T-junction hamstring injury: a preliminary case-control study in an English Premier League club.

Physical therapy in sport : official journal of the Association of Chartered Physiotherapists in Sports Medicine·2026
Same author

Ready or Not? The Anthropometric and Physical Qualities of Youth Female Rugby League Players in England.

Journal of strength and conditioning research·2026
Same author

The Incidence of Head Acceleration Events During Pitch-Based Training and Match Play in Professional Men's Rugby League.

Scandinavian journal of medicine & science in sports·2025
Same author

Concurrent Agreement and Test-Retest Reliability of a Global-Positioning-System Device for Measuring Maximal Horizontal Deceleration Ability in Elite Youth Academy Soccer Players.

International journal of sports physiology and performance·2025
Same author

The reliability of a commonly used (Catapult<sup>TM</sup> Vector S7) microtechnology unit to detect movement characteristics used in court-based sports.

Journal of sports sciences·2025
Same author

Variability of whole and peak match physical performance in highly trained female academy soccer players: A multi-club analysis.

PloS one·2025

Related Experiment Video

Updated: Jun 12, 2025

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

19.8K

Internal training exposure: development and construct validation of an individualised method using heart rate

Samrat Sheoran1, Antonis Stavropoulos-Kalinoglou2, Josh Darrall-Jones2

  • 1Centre for Human Performance, Carnegie School of Sport, Leeds Beckett University, Cavendish G08, Headingley Campus, Leeds, LS6 3QT, UK. s.sheoran@leedsbeckett.ac.uk.

European Journal of Applied Physiology
|June 11, 2025
PubMed
Summary

A new training method, alphaTRIMP, uses heart rate variability (HRV) analysis to personalize exercise intensity. This approach accurately quantifies training load for individuals with varying fitness levels.

Keywords:
DFA-alpha1Internal doseTRIMPTraining impulseTraining load

More Related Videos

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

10.1K
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

1.7K

Related Experiment Videos

Last Updated: Jun 12, 2025

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

19.8K
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

10.1K
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

1.7K

Area of Science:

  • Exercise Physiology
  • Sports Science
  • Biomedical Engineering

Background:

  • Individualized training prescription is crucial for optimizing athletic performance and preventing overtraining.
  • Current methods for quantifying training load, such as training impulse (TRIMP), may not fully account for inter-individual physiological responses.
  • Heart rate variability (HRV) analysis offers a promising avenue for assessing autonomic nervous system responses to exercise, reflecting internal training intensity.

Purpose of the Study:

  • To develop and validate an individualized internal training exposure method using detrended fluctuation analysis of HRV (DFA-α1).
  • To derive weighting factors for heart rate (HR) based on DFA-α1 during graded exercise tests.
  • To compare the efficacy of the novel DFA-α1-based method (αTRIMP) with traditional blood lactate-based methods (iTRIMP).

Main Methods:

  • Thirty-seven participants underwent graded exercise tests to measure blood lactate (BLa), DFA-α1, and cardiorespiratory fitness (CRF) variables.
  • Individualized coefficients were generated by fitting HR elevation against BLa (iTRIMP) or DFA-α1 (αTRIMP).
  • Principal component regression analyzed the relationship between CRF variables and TRIMP coefficients/weightings.

Main Results:

  • Significant inter-individual variability in HR at physiological thresholds (LT1/VT1, LT2/VT2) highlights the need for individualized weighting.
  • CRF showed a moderate relationship with iTRIMP and αTRIMP coefficients (R²=0.52-0.67).
  • CRF demonstrated a moderate to strong relationship with the weightings derived from both methods at fixed HR (R²=0.67-0.78).

Conclusions:

  • The αTRIMP method, utilizing DFA-α1-derived weightings, is a valid and accessible tool for quantifying internal training exposure.
  • This method effectively individualizes physiological intensity, even among individuals with diverse fitness levels exercising at similar HR percentages.
  • ECG-based HR monitors can be used with αTRIMP for practical application in training monitoring.