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

5.8K
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,...
5.8K
Regulation of Heart Rates01:31

Regulation of Heart Rates

3.4K
The regulation of heart rate is a complex process controlled by the autonomic nervous system (ANS), hormonal influences, and intrinsic cardiac mechanisms. The ANS has two main components: the sympathetic nervous system (SNS) and the parasympathetic nervous system (PNS).
The SNS increases heart rate through the release of norepinephrine and epinephrine, which act on beta-1 adrenergic receptors in the heart. This action increases the rate of depolarization in the sinoatrial (SA) node, the heart's...
3.4K
Cardiac Output I:Effect of Heart Rate on Cardiac Output01:19

Cardiac Output I:Effect of Heart Rate on Cardiac Output

2.0K
Cardiac Output
Cardiac output (CO) refers to the total amount of blood ejected by one of the ventricles in liters per minute (L/min). In a resting adult, CO ranges from 5 to 6 L/min, adjusting according to the body's metabolic requirements.
Effect of Heart Rate on Cardiac Output
Cardiac output adapts to metabolic demands during stress, physical activity, or illness. The autonomic nervous system regulates heart rate via the sinoatrial node. The parasympathetic nervous system decreases heart...
2.0K
Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

10.8K
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...
10.8K
Regulation of Pulse01:20

Regulation of Pulse

1.9K
Pulse regulation involves physiological mechanisms that ensure adequate blood flow throughout the body. The heartbeat, regulated by the autonomic nervous system, is influenced by hormonal balance, physical activity, and emotional state.
1.9K
Blood Studies for Cardiovascular System I: Cardiac Biomarkers01:20

Blood Studies for Cardiovascular System I: Cardiac Biomarkers

622
Cardiac biomarkers are enzymes, proteins, and hormones released into the blood when cardiac cells are injured. They are powerful tools for triaging.
The essential diagnostic tools for detecting myocardial necrosis and monitoring individuals suspected of having acute coronary syndrome (ACS) include:
Troponins
Troponins, particularly cardiac troponins I and T, are the most precise and sensitive markers of myocardial injury. They are detectable within 4-6 hours of myocardial injury and remain...
622

You might also read

Related Articles

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

Sort by
Same author

AFMap-UNet enables accurate nuclear segmentation of atomic force microscopy images with minimal training data.

Scientific reports·2026
Same author

The global landscape of SCD and approach to case work-up in Latin America: a LAHRS and SOBRAC survey.

Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing·2026
Same author

Ancestry-informative regulatory variants at KCNB1 modulate adipogenesis and body mass index.

Frontiers in endocrinology·2026
Same author

Danon Disease: Understanding the Role of LAMP2 Variants in Cardiomyopathy and Multisystemic Involvement.

Arquivos brasileiros de cardiologia·2026
Same author

A deep learning ECG model for identification and localization of occlusion myocardial infarction.

Nature communications·2026
Same author

Discovery of gene-alcohol interaction loci influencing blood pressure in 1.1 million individuals from multiple populations.

Research square·2026

Related Experiment Video

Updated: Dec 2, 2025

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

10.4K

Age and Sex Differences in Heart Rate Variability and Vagal Specific Patterns - Baependi Heart Study.

Glaucylara Reis Geovanini1, Enio Rodrigues Vasques2, Rafael de Oliveira Alvim3

  • 1Laboratory of Genetics and Molecular Cardiology, InCor-Heart Institute, Medical School, University of São Paulo, São Paulo, BR.

Global Heart
|November 5, 2020
PubMed
Summary

Heart rate variability (HRV) differs by age and sex, with parasympathetic measures showing a U-shaped pattern. These HRV changes in healthy individuals may predict future disease development.

Keywords:
HRVagingautonomic systemcardiovascular diseasesheart rate variabilityvagal tone

More Related Videos

Measuring Cardiac Autonomic Nervous System ANS Activity in Children
09:45

Measuring Cardiac Autonomic Nervous System ANS Activity in Children

Published on: April 29, 2013

21.3K
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

20.3K

Related Experiment Videos

Last Updated: Dec 2, 2025

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

10.4K
Measuring Cardiac Autonomic Nervous System ANS Activity in Children
09:45

Measuring Cardiac Autonomic Nervous System ANS Activity in Children

Published on: April 29, 2013

21.3K
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

20.3K

Area of Science:

  • Cardiology
  • Autonomic Nervous System Research
  • Biostatistics

Background:

  • Heart rate variability (HRV) is a noninvasive indicator of autonomic nervous system function.
  • HRV is known to be influenced by demographic factors such as age and sex, as well as the presence of chronic health conditions.

Purpose of the Study:

  • To investigate how heart rate variability (HRV) measures differ across age groups, sexes, and races within a rural Brazilian population.
  • To establish population reference values for HRV in a healthy subset of participants.

Main Methods:

  • Analysis of 24-hour Holter ECG monitoring data from 1,287 participants in the Baependi Heart Study.
  • Inclusion of a 'healthy' subset (n=543) without comorbidities for population reference value derivation.
  • Confirmatory analysis using resting ECG HRV data from a subgroup.

Main Results:

  • Significant differences in time-domain HRV measures were observed based on age decade and sex, with males generally exhibiting higher values.
  • Parasympathetic variables (rMSSD, pNN50) displayed a U-shaped distribution, increasing after age 60.
  • Sympathetic-parasympathetic balance variables (SDNN, SDANN) showed a linear decrease with age. No significant race-based differences were found.

Conclusions:

  • HRV metrics demonstrate significant variability influenced by age and sex.
  • The observed U-shaped pattern and late-life increase in parasympathetic activity may indicate age-related autonomic dysfunction, potentially serving as an early predictor of disease.