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A mathematical model of the fetal cardiovascular system based on genetic algorithms as identification technique

M Grigioni1, A Carotti, C Daniele

  • 1Laboratory of Biomedical Engineering, Istituto Superiore di Sanità, Rome, Italy. Grigioni@sun.iss.it

Insights

This study models the human fetal cardiovascular system to better understand blood flow differences between the upper and lower body. The validated model aids research into congenital heart defects and circulatory support.

Area of Science:

  • Cardiovascular Physiology
  • Mathematical Modeling
  • Fetal Medicine

Background:

  • Fetal cardiac surgery requires understanding fetal circulation for congenital heart defect treatment.
  • Current methods using vessel resistance indices offer limited physiological insight into fetal hemodynamics.
  • Detailed knowledge of upper and lower body circulation differences is crucial.

Purpose of the Study:

  • To develop and validate a mathematical model of the human fetal global cardiovascular system.
  • To investigate the distinct hemodynamic relationships and blood flow distribution between the fetal upper and lower body.
  • To explore the role of the aortic isthmus in fetal circulation.

Main Methods:

  • A mathematical model representing the fetal heart with time-varying capacitances and the vascular system with two six-element Windkessel models.
  • Genetic Algorithms (GAs) were employed to identify model parameters based on evolutionary principles.
  • Model validation was performed by comparing numerical results with experimental measurements and existing literature data.

Main Results:

  • A validated mathematical model of the human fetal global cardiovascular system was successfully developed.
  • The model allows for the investigation of blood flow distribution differences between fetal upper and lower body vascular districts.
  • The model provides insights into the function of the aortic isthmus.

Conclusions:

  • The developed model serves as a valuable tool for studying fetal cardiovascular dynamics and congenital heart malformations.
  • It can aid in understanding blood flow regulation and the impact of interventions like mechanical circulatory support.
  • This model enhances the physiological understanding of fetal hemodynamics beyond simple resistance indices.

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