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

Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models00:57

Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models

Physiological pharmacokinetic models, often called flow-limited or perfusion models, typically assume a swift drug distribution between tissue and venous blood, creating a rapid drug equilibrium. This premise is based on the idea that drug diffusion is extremely fast, and the cell membrane presents no barrier to drug permeation. In this scenario, where no drug binding occurs, the drug concentration in the tissue equals that of the venous blood leaving the tissue. This greatly simplifies the...
Typical Model Studies01:30

Typical Model Studies

Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.

You might also read

Related Articles

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

Sort by
Same author

Development of a Novel Holistic Assessment Strategy of TAVI-Induced Flow Restoration via Dimensionality Reduction Techniques.

Cardiovascular engineering and technology·2026
Same author

Validation of Aortic Blood Flow Simulations During Extracorporeal Circulation Using Phase Contrast Magnetic Resonance Imaging.

Artificial organs·2026
Same author

Monitoring of Patients on Efanesoctocog Alfa Using SynthASil.

International journal of laboratory hematology·2026
Same author

Protected quantum gates using qubit doublons in dynamical optical lattices.

Nature·2026
Same author

Interpretable Machine Learning for Feature-Based Classification of Platelet Activation in Rotary Blood Pumps.

Cardiovascular engineering and technology·2026
Same author

Continuous vs pulsatile arterial cannula flow for venoarterial extracorporeal membrane oxygenation: A multiscale computational fluid dynamics analysis.

Computer methods and programs in biomedicine·2026
Same journal

The HELP Score in Non-Asphyxial Hypothermic Cardiac Arrest Treated With Extracorporeal Life Support: External Validation and Clinical Utility.

ASAIO journal (American Society for Artificial Internal Organs : 1992)·2026
Same journal

Incidence and Mortality Outcomes of Extracorporeal Membrane Oxygenation in Infants With Congenital Lung Malformations: A Registry Study.

ASAIO journal (American Society for Artificial Internal Organs : 1992)·2026
Same journal

Hemolysis During Microaxial Flow Pump Support: Cause or Marker of Hemocompatibility-Related Adverse Events After Left Ventricular Assist Device Implantation?

ASAIO journal (American Society for Artificial Internal Organs : 1992)·2026
Same journal

Machine Learning Prediction of Pediatric In-Hospital Survival Before Extracorporeal Membrane Oxygenation Cannulation.

ASAIO journal (American Society for Artificial Internal Organs : 1992)·2026
Same journal

Erratum: Safety and Efficacy of Stored Wet-Preprimed Extracorporeal Membrane Oxygenation Circuits: A Scoping Review.

ASAIO journal (American Society for Artificial Internal Organs : 1992)·2026
Same journal

Case Series of Extracorporeal Cardiopulmonary Resuscitation for Refractory Cardiopulmonary Arrest After Cardiac Surgery.

ASAIO journal (American Society for Artificial Internal Organs : 1992)·2026
See all related articles

Related Experiment Video

Updated: Jun 24, 2026

Real-Time Assessment of Spinal Cord Microperfusion in a Porcine Model of Ischemia/Reperfusion
10:27

Real-Time Assessment of Spinal Cord Microperfusion in a Porcine Model of Ischemia/Reperfusion

Published on: December 10, 2020

4.1K

Noninvasive Predictive Model for Rapid Hemodynamic Optimization During Mechanical Circulatory Support.

IFan Yen1,2, Michael Neidlin1, Yuxin Zhu2

  • 1From the Cardiovascular Engineering, Applied Medical Engineering, Medical Faculty, RWTH Aachen University, Aachen, Germany.

ASAIO Journal (American Society for Artificial Internal Organs : 1992)
|March 10, 2026
PubMed
Summary
This summary is machine-generated.

A new integrated model optimizes mechanical circulatory support (MCS) device settings for heart failure patients. It enables continuous monitoring of hemolysis and hemodynamics, improving device management and patient outcomes.

Keywords:
blood pumpcardiovascular modellumped parameter modelmathematical modelingmechanical circulatory supportnumerical simulation

More Related Videos

Noninvasive and Invasive Renal Hypoxia Monitoring in a Porcine Model of Hemorrhagic Shock
07:48

Noninvasive and Invasive Renal Hypoxia Monitoring in a Porcine Model of Hemorrhagic Shock

Published on: October 28, 2022

1.7K
Author Spotlight: Enhancing Graft Viability Assessment Through Quantitative Metrics and Innovative Reservoir Systems
08:49

Author Spotlight: Enhancing Graft Viability Assessment Through Quantitative Metrics and Innovative Reservoir Systems

Published on: August 2, 2024

1.4K

Related Experiment Videos

Last Updated: Jun 24, 2026

Real-Time Assessment of Spinal Cord Microperfusion in a Porcine Model of Ischemia/Reperfusion
10:27

Real-Time Assessment of Spinal Cord Microperfusion in a Porcine Model of Ischemia/Reperfusion

Published on: December 10, 2020

4.1K
Noninvasive and Invasive Renal Hypoxia Monitoring in a Porcine Model of Hemorrhagic Shock
07:48

Noninvasive and Invasive Renal Hypoxia Monitoring in a Porcine Model of Hemorrhagic Shock

Published on: October 28, 2022

1.7K
Author Spotlight: Enhancing Graft Viability Assessment Through Quantitative Metrics and Innovative Reservoir Systems
08:49

Author Spotlight: Enhancing Graft Viability Assessment Through Quantitative Metrics and Innovative Reservoir Systems

Published on: August 2, 2024

1.4K

Area of Science:

  • Biomedical Engineering
  • Cardiovascular Research
  • Computational Fluid Dynamics

Background:

  • Mechanical circulatory support (MCS) devices are crucial for advanced heart failure treatment.
  • Current MCS systems lack standardized protocols for critical parameter adjustment (e.g., speed, flow rate).
  • Optimizing MCS parameters is essential for patient outcomes and minimizing complications like hemolysis.

Purpose of the Study:

  • To develop an integrated computational model for MCS parameter adjustment.
  • To enable continuous monitoring of hemolysis and hemodynamic status during MCS therapy.
  • To establish standardized methods for optimizing MCS device settings.

Main Methods:

  • Combined lumped parameter modeling (LPM) and reduced order modeling (ROM) derived from computational fluid dynamics.
  • Utilized sensitivity analysis and Bayesian algorithms for efficient model calibration.
  • Analyzed retrospective clinical data from the MoyoAssist magnetically levitated centrifugal extracorporeal ventricular assist device.

Main Results:

  • The integrated model accurately fitted clinical data using a limited number of parameters.
  • The model provided critical hemodynamic insights, including left ventricular elastance and pressure-volume (P-V) loops.
  • A relationship between rotational speed and cardiac index (CI) was identified, defining a safe adjustment range (CI_total >2.2, CI_heart >0.25).

Conclusions:

  • The developed model demonstrates feasibility for rapid calculation of P-V loops and ventricular elastance.
  • The findings provide a basis for defining target CI values for MCS optimization.
  • This approach supports informed speed adjustments to enhance the efficacy of mechanical circulatory support.