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Numerical Optimization Studies of Cardiovascular–Rotary Blood Pump Interaction
Author(s) -
Lim Einly,
Dokos Socrates,
Salamonsen Robert F.,
Rosenfeldt Franklin L.,
Ayre Peter J.,
Lovell Nigel H.
Publication year - 2012
Publication title -
artificial organs
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.684
H-Index - 76
eISSN - 1525-1594
pISSN - 0160-564X
DOI - 10.1111/j.1525-1594.2012.01449.x
Subject(s) - contractility , peristaltic pump , control theory (sociology) , biomedical engineering , robustness (evolution) , vascular resistance , blood volume , mathematics , materials science , cardiology , hemodynamics , medicine , chemistry , computer science , thermodynamics , physics , biochemistry , control (management) , artificial intelligence , gene
A heart–pump interaction model has been developed based on animal experimental measurements obtained with a rotary blood pump in situ. Five canine experiments were performed to investigate the interaction between the cardiovascular system and the implantable rotary blood pump over a wide range of operating conditions, including variations in cardiac contractility and heart rate, systemic vascular resistance (SVR), and total blood volume ( V total ). It was observed in our experiments that SVR decreased with increasing mean pump speed under the healthy condition, but was relatively constant during the speed ramp study under reduced cardiac contractility conditions. Furthermore, we also found a significant increase in pulmonary vascular resistance with increasing mean pump speed and decreasing total blood volume, despite a relatively constant SVR. Least squares parameter estimation methods were utilized to fit a subset of model parameters in order to achieve better agreement with the experimental data and to evaluate the robustness and validity of the model under various operating conditions. The fitted model produced reasonable agreement with the experimental measurements, both in terms of mean values and steady‐state waveforms. In addition, all the optimized parameters were within physiological limits.