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A Lumped-Parameter Model of the Cardiovascular System Response for Evaluating Automated Fluid Resuscitation Systems
Yekanth Ram Chalumuri1, Ghazal Arabidarrehdor1, Ali Tivay1
1Department of Mechanical Engineering, University of Maryland, College Park, MD 20742, USA.
IEEE Access : Practical Innovations, Open Solutions
|June 14, 2024
Summary
A new mathematical model simulates cardiovascular responses to fluid shifts, enhancing the testing of physiological closed-loop controlled (PCLC) medical devices. This validated model aids in creating virtual patient cohorts for PCLC device evaluation.
Area of Science:
- Biomedical Engineering
- Computational Physiology
- Medical Device Development
Background:
- Physiological closed-loop controlled (PCLC) medical devices require robust testing for safety and efficacy.
- Animal and clinical studies have limitations in capturing diverse physiological conditions.
- Mathematical models can simulate patient scenarios to complement traditional testing methods.
Purpose of the Study:
- To develop and validate a low-order lumped-parameter mathematical model of the cardiovascular system.
- To assess the model's ability to simulate responses to fluid perturbation (hemorrhage and infusion).
- To evaluate the model's utility in generating virtual patient cohorts for PCLC device evaluation.
Main Methods:
- Developed a low-order lumped-parameter mathematical model of cardiovascular response to fluid shifts.
- Calibrated the model using data from 27 sheep subjects.
- Validated the model's predictive capability using leave-one-out cross-validation and independent testing on 12 swine subjects.
- Generated virtual patient cohorts using the validated model.
Main Results:
- Model calibration achieved a normalized root-mean-square error (NRMSE) below 10% for all variables against the training dataset.
- Leave-one-out cross-validation showed an average NRMSE below 12.7% for virtual subjects.
- Independent validation using swine data yielded an average NRMSE below 11.9% for virtual subjects.
- The model successfully generated virtual patient cohorts that closely resembled the test dataset.
Conclusions:
- The developed mathematical model and virtual cohort generator demonstrate high predictive capability for simulating cardiovascular responses to fluid perturbation.
- The model is suitable for generating virtual patient populations, offering a valuable tool for PCLC medical device evaluation.
- This approach enhances the safety and efficacy testing of PCLC devices by expanding the range of simulated physiological conditions.
