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

Mechanism of Cardiac Arrhythmias01:28

Mechanism of Cardiac Arrhythmias

1.5K
Arrhythmias are irregular heart rhythms occurring when the heart's electrical impulses become abnormal. These disturbances can lead to various symptoms, depending on their severity and the underlying cause. Some common factors contributing to arrhythmias include hypoxia, ischemia, electrolyte imbalances, excessive catecholamine exposure, drug toxicity, and muscle overstretching. Arrhythmias can be classified into two main types based on the rate and site of origin of abnormal heart rhythms.
1.5K
Pathophysiology of Cardiac Performance01:29

Pathophysiology of Cardiac Performance

1.3K
Typical heart performance is influenced by heart rate, rhythm, myocardial contraction, and metabolism or blood flow. The cardiac muscle exhibits distinct electrophysiological features, including pacemaker activity and calcium channel control, which play a vital role in the heart's response to various drugs. The autonomic nervous system, comprising the sympathetic and parasympathetic branches, regulates heart rate. Sympathetic activation increases heart rate, while parasympathetic activation...
1.3K
Electrophysiology of Normal Cardiac Rhythm01:19

Electrophysiology of Normal Cardiac Rhythm

8.5K
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...
8.5K
Disturbances in Heart Rhythm01:29

Disturbances in Heart Rhythm

2.2K
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...
2.2K
Factors Influencing Heart Rate01:30

Factors Influencing Heart Rate

5.9K
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,...
5.9K
Pathophysiology of Heart Failure01:17

Pathophysiology of Heart Failure

2.5K
Heart failure (HF) is a progressive syndrome involving ventricles that leads to inadequate cardiac output. It can be classified based on location and output or ejection fraction. Ejection fraction (EF) is an essential measurement in the diagnosis and surveillance of HF. Reduced EF corresponds to systolic heart failure (HFrEF). However, HF with preserved ejection fraction (HFpEF) is becoming increasingly prevalent. Also known as diastolic HF, this form of HF is related to aging. The...
2.5K

You might also read

Related Articles

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

Sort by
Same author

Nonlinear features in whistles produced by the short-beaked common dolphin (Delphinus delphis) off southeastern Brazil.

The Journal of the Acoustical Society of America·2023
Same author

Complex bio rhythms.

The European physical journal. Special topics·2022
Same author

A dynamical map to describe COVID-19 epidemics.

The European physical journal. Special topics·2021
Same author

COVID-19 dynamics considering the influence of hospital infrastructure: an investigation into Brazilian scenarios.

Nonlinear dynamics·2021
Same author

A Mathematical Description of the Dynamics of Coronavirus Disease 2019 (COVID-19): A Case Study of Brazil.

Computational and mathematical methods in medicine·2020
Same author

Global warming description using Daisyworld model with greenhouse gases.

Bio Systems·2014

Related Experiment Video

Updated: Dec 17, 2025

Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations
12:09

Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations

Published on: January 8, 2013

14.0K

Random effects inducing heart pathological dynamics: An approach based on mathematical models.

Augusto Cheffer1, Marcelo A Savi1

  • 1Universidade Federal do Rio de Janeiro, COPPE, Department of Mechanical Engineering, Center for Nonlinear Mechanics, P.O. Box 68.503, 21.941.972, Rio de Janeiro, RJ, Brazil.

Bio Systems
|June 21, 2020
PubMed
Summary
This summary is machine-generated.

Randomness in heart rhythm analysis, modeled by coupled nonlinear oscillators, can lead to pathological behaviors from normal rhythms. Nonlinear dynamics and random couplings are key to understanding cardiac system variability.

Keywords:
Cardiac rhythmsChaosDDEsHeartNonlinear dynamicsPoincaré mapsRandom

More Related Videos

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction
09:20

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction

Published on: February 13, 2021

6.9K
In Silico Clinical Trials for Cardiovascular Disease
09:09

In Silico Clinical Trials for Cardiovascular Disease

Published on: May 27, 2022

2.1K

Related Experiment Videos

Last Updated: Dec 17, 2025

Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations
12:09

Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations

Published on: January 8, 2013

14.0K
Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction
09:20

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction

Published on: February 13, 2021

6.9K
In Silico Clinical Trials for Cardiovascular Disease
09:09

In Silico Clinical Trials for Cardiovascular Disease

Published on: May 27, 2022

2.1K

Area of Science:

  • Cardiovascular physiology
  • Nonlinear dynamics
  • Mathematical modeling

Background:

  • Heart rhythm is a complex physiological process.
  • Understanding cardiac system variability is crucial for diagnosing heart conditions.
  • Previous models often simplify the intricate dynamics of heart rhythm.

Purpose of the Study:

  • To investigate the impact of randomness on heart rhythm analysis.
  • To explore how nonlinearities and random couplings influence cardiac dynamics.
  • To develop a mathematical model capturing heart rhythm variability.

Main Methods:

  • Utilized a mathematical model of three-coupled nonlinear oscillators.
  • Incorporated time-delayed connections between oscillators.
  • Introduced nondeterministic aspects via random oscillator couplings.
  • Employed delayed-differential equations to govern heart rhythm dynamics.

Main Results:

  • The model successfully captured main behaviors of the cardiac system.
  • Nonlinearities and randomness were shown to define the system's variability.
  • Pathological behaviors can emerge from normal rhythms due to random couplings.
  • Model predictions were corroborated by experimental data.

Conclusions:

  • Nonlinear dynamical analysis is essential for comprehending cardiac physiology.
  • Random couplings play a significant role in cardiac system dynamics.
  • The developed model provides insights into the origins of cardiac pathologies.