Cardiovascular dynamics during head-up tilt assessed via pulsatile and non-pulsatile models

@article{Williams2018CardiovascularDD,
  title={Cardiovascular dynamics during head-up tilt assessed via pulsatile and non-pulsatile models},
  author={Nakeya D. Williams and Renee Brady and Steven Gilmore and Pierre A. Gremaud and Hien T. Tran and Johnny T. Ottesen and Jesper Mehlsen and Mette Sofie Olufsen},
  journal={Journal of Mathematical Biology},
  year={2018},
  volume={79},
  pages={987 - 1014}
}
This study develops non-pulsatile and pulsatile models for the prediction of blood flow and pressure during head-up tilt. This test is used to diagnose potential pathologies within the autonomic control system, which acts to keep the cardiovascular system at homeostasis. We show that mathematical modeling can be used to predict changes in cardiac contractility, vascular resistance, and arterial compliance, quantities that cannot be measured but are useful to assess the system’s state. These… 

An optimal control approach for blood pressure regulation during head-up tilt

Results show that the optimal control approach can predict time-varying quantities regulated by the cardiovascular control system, and shows the feasibility of using optimal control theory to compute physiological control variables, vascular resistance and cardiac contractility.

References

SHOWING 1-10 OF 36 REFERENCES

Hemodynamic response to exercise and head-up tilt of patients implanted with a rotary blood pump: a computational modeling study.

The simulation results highlighted the importance of the baroreflex mechanism in determining the response of the IRBP-assisted patients to exercise and postural changes, where desensitized reflex response attenuated the percentage increase in cardiac output during exercise and substantially reduced the arterial pressure upon HUT.

A baroreflex model of short term blood pressure and heart rate variability.

A model which consists of a simple beat-to-beat hemodynamic part linked to a detailed continuous modelled neural control part acting as cardiac pacemaker reasonably well fitted to experimental data is presented.

A Cardiovascular Mathematical Model of Graded Head-Up Tilt

A lumped parameter model of the cardiovascular system has been developed and optimized using experimental data obtained from 13 healthy subjects during graded head-up tilt (HUT) from the supine

Blood pressure and blood flow variation during postural change from sitting to standing: model development and validation.

A mathematical model is presented that can predict dynamic changes in beat-to-beat arterial blood pressure and middle cerebral artery blood flow velocity during postural change from sitting to standing and is in agreement with physiological data from a young subject during postures change from Sitting to standing.

Computational modeling of cardiovascular response to orthostatic stress.

A model of the cardiovascular system capable of simulating the short-term transient and steady-state hemodynamic responses to head-up tilt and lower body negative pressure is developed and orthostatic stress simulations are not statistically different from experimental data.

Mathematical modeling of gravitational effects on the circulation: importance of the time course of venous pooling and blood volume changes in the lungs.

The initial BP response to HUT is mainly determined by the response of the venous system, and the time course of lower body pooling is essential in understanding the response to passive HUT.

An Optimal Control Approach to Modeling the Cardiovascular-Respiratory System: An Application to Orthostatic Stress

This paper introduces a model designed to study the cardiovascular-respiratory system and its control features. It has been previously applied to study several physiological situations and in this

A mathematical model of the carotid baroregulation in pulsating conditions

  • M. Ursino
  • Medicine, Biology
    IEEE Transactions on Biomedical Engineering
  • 1999
Simulation results suggest that the carotid baroreflex is able to significantly modulate the cardiac function curve, but this effect is masked in vivo by changes in arterial pressure and atrial pressure.

Mathematical modeling of cardiovascular coupling: Central autonomic commands and baroreflex control