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The step response of left ventricular pressure to ejection flow: a system oriented approach
1Department of Electrical Engineering, University of Twente, Enschede, The Netherlands.
Annals of Biomedical Engineering
|January 1, 1992
Summary
This study introduces a new model for left ventricular pressure, revealing that decreasing ejection flow reduces ventricular elastance. A novel elastance deactivation factor was identified, potentially significant for heart muscle function.
Area of Science:
- Cardiovascular Physiology
- Biomedical Engineering
- Computational Biology
Background:
- Left ventricular pressure is influenced by ventricular volume and ejection flow.
- Ventricular elastance and resistance are key parameters, but decreasing ejection flow introduces elastance depression.
- Existing models may not fully capture the dynamic interplay between flow and ventricular mechanics.
Purpose of the Study:
- To model the effects of elastance, resistance, and elastance depression on left ventricular pressure.
- To develop and validate a three-compartment model for ventricular dynamics.
- To identify novel parameters related to ventricular function during varying ejection flows.
Main Methods:
- A three-compartment model was developed to represent ventricular elastance, resistance, and elastance depression.
- The model was identified using experimental pressure responses from isolated rabbit hearts subjected to controlled flow epochs.
- Flow epochs included constant flow phases and steps of increasing or decreasing flow.
Main Results:
- Elastance remained unchanged with positive or zero flow steps but decreased with negative flow steps.
- A linear relationship was found between elastance deactivation and the pressure difference during negative flow steps.
- Key parameters identified include ventricular active volume, nondepressed elastance, series-elastance, resistance, and a new elastance deactivation factor.
Conclusions:
- The study proposes a new parameter, the elastance depression factor, potentially crucial for understanding heart muscle function.
- The identified parameters align with existing literature, validating the model's core components.
- An nonlinear state-model for the ventricle is proposed, applicable to various physiological flow patterns.