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An object-oriented computational model to study cardiopulmonary hemodynamic interactions in humans.

Chuong Ngo1, Stephan Dahlmanns1, Thomas Vollmer2

  • 1Chair of Medical Information Technology, Helmholtz Institute for Biomedical Engineering, RWTH Aachen University, Pauwelsstr. 20, 52074 Aachen, Germany.

Computer Methods and Programs in Biomedicine
|April 14, 2018
PubMed
Summary

This study presents an object-oriented computational model for human cardiopulmonary interactions. The model simulates physiological responses during spontaneous breathing and mechanical ventilation, offering a tool for research.

Keywords:
Cardiopulmonary interactionsMechanical ventilationNon-linear modelingObject-oriented modelingPhysiological modelingStroke volume

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Area of Science:

  • Computational physiology
  • Biomedical engineering
  • Systems biology

Background:

  • Cardiopulmonary interactions are complex, involving integrated cardiovascular and respiratory systems.
  • Accurate computational models are essential for understanding physiological dynamics and disease states.

Purpose of the Study:

  • To introduce a novel object-oriented computational model for simulating human cardiopulmonary interactions.
  • To incorporate non-linear physiological behaviors of key cardiovascular and respiratory components.
  • To validate the model against existing clinical and animal data.

Main Methods:

  • Developed an object-oriented model using Matlab Simscape with physical connections between components.
  • Implemented non-linear pressure-volume and pressure-flow relationships for over 30 physiological compartments.
  • Included non-linear behaviors of veins, pulmonary capillaries, airways, alveoli, and chest wall.
  • Derived model parameters from literature values and validated against published data.

Main Results:

  • The model quantifies pressures (alveolar, pleural, interstitial, aortic, ventricular) and volumes (heart, lung) during breathing.
  • Baseline simulations confirm parameter consistency.
  • Simulation results during mechanical ventilation with PEEP trials align with literature data.

Conclusions:

  • Object-oriented programming effectively models complex, interconnected physiological systems with non-linearities.
  • This model serves as a valuable tool for investigating cardiopulmonary activity during spontaneous and mechanical ventilation.