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

Computed Tomography01:10

Computed Tomography

9.0K
Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
9.0K
Cardiac Output II: Effect of Stroke Volume on Cardiac Output01:22

Cardiac Output II: Effect of Stroke Volume on Cardiac Output

3.6K
Cardiac output (CO), the amount of blood the heart pumps per minute, is a parameter in cardiovascular physiology determined by stroke volume and heart rate. Stroke volume, the amount of blood pushed from one of the ventricles per heartbeat, is influenced by preload, afterload, and contractility.
Preload
Preload refers to the initial elongation of the cardiac myocytes before contraction and is related to the volume of blood filling the heart at the end of diastole, or end-diastolic volume. The...
3.6K
Design Example: Traverse Angle Computations01:25

Design Example: Traverse Angle Computations

348
Traverse angle computations are a critical component of surveying, used to compute the internal angles within a closed traverse. A traverse consists of a series of connected lines forming a closed loop, often used for land boundary delineation or mapping. Calculating the internal angles ensures accuracy in the traverse geometry and is essential for checking survey data integrity.The process begins with known azimuths and bearings of the traverse sides. Internal angles at each vertex are...
348
Cardiac Output I:Effect of Heart Rate on Cardiac Output01:19

Cardiac Output I:Effect of Heart Rate on Cardiac Output

2.8K
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...
2.8K
The Cardiac Cycle01:13

The Cardiac Cycle

99.1K
The heart beats rhythmically in a sequence called the cardiac cycle—a rapid coordination of contraction (systole) and relaxation (diastole).
The Process
Electrical signals—sent from the sinoatrial (SA) node in the right atrial wall to the atrioventricular (AV) node between the right atrium and right ventricle—cause both atria to simultaneously contract. When the signal reaches the AV node, it pauses for approximately a tenth of a second, allowing the atria to contract and...
99.1K
Cardiac Cycle01:29

Cardiac Cycle

13.3K
The cardiac cycle refers to the sequence of events that occur in the heart from the beginning of one heartbeat to the next. It's characterized by alternating periods of contraction (systole) and relaxation (diastole) of the heart muscles.
During the cardiac cycle, blood flow through the heart is regulated entirely by changing pressure gradients. This sequence of events begins with the heart in a state of total relaxation, known as mid-to-late diastole, during which blood passively flows from...
13.3K

You might also read

Related Articles

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

Sort by
Same author

From molecule to bedside and back: the integration of computational and experimental physiology in the digital age.

The Journal of physiology·2026
Same author

Models of the human heart for biomedical research: Opportunities and challenges.

Physiological reports·2026
Same author

Association of non-invasive atrial cardiomyopathy markers with cerebral stroke lesions: a population-based analysis from the Hamburg City Health Study.

Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology·2026
Same author

Correlative imaging integrates electrophysiology with three-dimensional murine heart reconstruction to reveal electrical coupling between cell types.

Nature cardiovascular research·2025
Same author

Regionalization of the atria for 3D electroanatomical mapping, cardiac imaging, and computational modelling: a clinical consensus statement of the European Heart Rhythm Association and the European Association of Cardiovascular Imaging of the ESC.

Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology·2025
Same author

Models of cardiomyocyte-non-myocyte electrical interactions.

The Journal of physiology·2025

Related Experiment Video

Updated: Feb 16, 2026

A Chronic Cardiac Ischemia Model in Swine Using an Ameroid Constrictor
08:22

A Chronic Cardiac Ischemia Model in Swine Using an Ameroid Constrictor

Published on: October 9, 2017

11.1K

Cardiac ischemia-insights from computational models.

Axel Loewe1, Eike Moritz Wülfers2,3, Gunnar Seemann4,5,6

  • 1Institute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany.

Herzschrittmachertherapie & Elektrophysiologie
|January 7, 2018
PubMed
Summary
This summary is machine-generated.

Computational cardiac modeling simulates electrophysiology across scales. In silico experiments reveal how ischemia affects the electrocardiogram (ECG), providing insights into cardiac dysfunction and treatment strategies.

Keywords:
CardiologyElectrocardiographyElectrophysiologyMathematical modelsReview

More Related Videos

Normothermic Cardiac Arrest and Cardiopulmonary Resuscitation: A Mouse Model of Ischemia-Reperfusion Injury
10:25

Normothermic Cardiac Arrest and Cardiopulmonary Resuscitation: A Mouse Model of Ischemia-Reperfusion Injury

Published on: August 30, 2011

18.8K
Surgical Swine Model of Chronic Cardiac Ischemia Treated by Off-Pump Coronary Artery Bypass Graft Surgery
09:12

Surgical Swine Model of Chronic Cardiac Ischemia Treated by Off-Pump Coronary Artery Bypass Graft Surgery

Published on: March 27, 2018

10.0K

Related Experiment Videos

Last Updated: Feb 16, 2026

A Chronic Cardiac Ischemia Model in Swine Using an Ameroid Constrictor
08:22

A Chronic Cardiac Ischemia Model in Swine Using an Ameroid Constrictor

Published on: October 9, 2017

11.1K
Normothermic Cardiac Arrest and Cardiopulmonary Resuscitation: A Mouse Model of Ischemia-Reperfusion Injury
10:25

Normothermic Cardiac Arrest and Cardiopulmonary Resuscitation: A Mouse Model of Ischemia-Reperfusion Injury

Published on: August 30, 2011

18.8K
Surgical Swine Model of Chronic Cardiac Ischemia Treated by Off-Pump Coronary Artery Bypass Graft Surgery
09:12

Surgical Swine Model of Chronic Cardiac Ischemia Treated by Off-Pump Coronary Artery Bypass Graft Surgery

Published on: March 27, 2018

10.0K

Area of Science:

  • * Computational biophysics
  • * Cardiovascular system modeling
  • * Cardiac electrophysiology

Background:

  • * Computational cardiac modeling aids understanding of cardiovascular system dysfunction.
  • * It supports evaluation of existing and development of novel treatment strategies.

Purpose of the Study:

  • * To describe multiscale computational modeling of cardiac electrophysiology.
  • * To illustrate how in silico experiments elucidate ischemia's impact on diagnostic tools like the electrocardiogram (ECG).

Main Methods:

  • * Quantitative in silico modeling across scales: ion channel biophysics to ECG signals.
  • * Mathematical equations describe electrophysiology and inter-scale relationships.
  • * Ischemia-induced changes integrated at molecular, cellular, and tissue levels.

Main Results:

  • * Ischemia causes action potential shortening and conduction slowing.
  • * Myocardial ischemia significantly affects excitation propagation and repolarization based on region extent.
  • * Specific ECG changes observed: ST elevation (transmural), ST depression (subendocardial), and electrical silence (intermediate).

Conclusions:

  • * In silico modeling offers quantitative, mechanistic insights into ischemia-related arrhythmogenic mechanisms.
  • * Computational modeling bridges cellular-level findings to organ/body context (e.g., ECG).
  • * This enhances understanding of ECG diagnostics and may optimize its applications.