Jove
Visualize
Contact Us

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
Regulation of Heart Rates01:31

Regulation of Heart Rates

4.2K
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...
4.2K
Disturbances in Heart Rhythm01:29

Disturbances in Heart Rhythm

3.3K
Arrhythmia or dysrhythmia refers to an abnormal heart rhythm caused by a defect in the heart's conduction system. It can cause the heart to beat irregularly, too quickly, or too slowly, leading to symptoms like chest pain, shortness of breath, and fainting. Factors such as stress, caffeine, alcohol, nicotine, cocaine, certain drugs, congenital defects, diseases, and electrolyte abnormalities can trigger arrhythmias.
Arrhythmias are categorized by their speed, rhythm, and origin. A slow heart...
3.3K
Dysrhythmias III: Characteristics of Dysrhythmias01:29

Dysrhythmias III: Characteristics of Dysrhythmias

555
Dysrhythmias, also known as arrhythmias, are irregular heart rhythms that result from abnormal electrical activity in the heart, affecting its ability to circulate blood efficiently. Tachyarrhythmias, a subset of dysrhythmias, are characterized by abnormally fast heart rates exceeding 100 beats per minute. Here are some types of tachyarrhythmias with their distinct ECG features:Sinus Tachycardia:Sinus tachycardia presents a regular heart rhythm with an increased rate of 101-180 beats per...
555
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
Pulse rhythm01:30

Pulse rhythm

1.5K
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...
1.5K

You might also read

Related Articles

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

Sort by
Same author

A repeated awakening study exploring the capacity of complexity measures to capture dreaming during propofol sedation.

Scientific reports·2025
Same author

[Challenges in the treatment of opioid dependence].

Der Nervenarzt·2024
Same author

Factors associated with use of opioid rescue medication after surgery.

Regional anesthesia and pain medicine·2023
Same author

An olfactory self-test effectively screens for COVID-19.

Communications medicine·2022
Same author

Comparability of Heart Rate Turbulence Methodology: 15 Intervals Suffice to Calculate Turbulence Slope - A Methodological Analysis Using PhysioNet Data of 1074 Patients.

Frontiers in cardiovascular medicine·2022
Same author

Erratum: HRT assessment reviewed: a systematic review of heart rate turbulence methodology (2020<i>Physiol. Meas.</i><b>41</b>08TR01).

Physiological measurement·2022
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 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

Heart-Rate Variability-More than Heart Beats?

Gernot Ernst1

  • 1Anaesthesiology, Pain and Palliative Care Section, Kongsberg Hospital, Vestre Viken Hospital Trust, Kongsberg, Norway.

Frontiers in Public Health
|September 29, 2017
PubMed
Summary

Heart-rate variability (HRV) reflects complex autonomic nervous system interactions, extending beyond simple sympathetic-parasympathetic balance. It offers insights into brain-heart connections and homeostasis, influencing health and behavior.

Keywords:
autonomous nerve systemheart-rate variabilityparasympathetic nerve systemsympathetic nerve systemsystems theorytime series

More Related Videos

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

3.2K
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
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

3.2K
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:

  • Cardiology
  • Neuroscience
  • Systems Biology

Background:

  • Heart-rate variability (HRV) traditionally indicates autonomic nervous system (ANS) balance.
  • Some conditions cause parallel, not reciprocal, changes in sympathetic and parasympathetic activity.
  • HRV is increasingly viewed as a marker of brain-cardiovascular system interactions.

Purpose of the Study:

  • To explore HRV beyond its role as an ANS imbalance indicator.
  • To examine HRV's connection to complex physiological and psychological states.
  • To integrate systems biology and neurovisceral models for a holistic HRV understanding.

Main Methods:

  • Review of existing literature on HRV and autonomic function.
  • Analysis of time series data in systems biology approaches.
  • Integration of polyvagal theory and neurovisceral integration models.

Main Results:

  • HRV may reflect parallel ANS activity changes, not just reciprocal ones.
  • Lower HRV is linked to poorer health outcomes and reduced life expectancy.
  • HRV is proposed to reflect both cardiac and brain states.

Conclusions:

  • HRV offers a more comprehensive view of physiological regulation and health.
  • The polyvagal theory posits reduced HRV as a pathological homeostasis mechanism.
  • Neurovisceral integration highlights HRV's role in emotion-cognition network function.