Development and In-Silico Evaluation of a Closed-Loop Fluid Resuscitation Control Algorithm with Mean Arterial Pressure Feedback
General Material Designation
[Thesis]
First Statement of Responsibility
Alsalti, Mohammad Salahaldeen Ahmad
Subsequent Statement of Responsibility
Hahn, Jin-Oh
.PUBLICATION, DISTRIBUTION, ETC
Name of Publisher, Distributor, etc.
University of Maryland, College Park
Date of Publication, Distribution, etc.
2020
GENERAL NOTES
Text of Note
86 p.
DISSERTATION (THESIS) NOTE
Dissertation or thesis details and type of degree
M.S.
Body granting the degree
University of Maryland, College Park
Text preceding or following the note
2020
SUMMARY OR ABSTRACT
Text of Note
In this thesis, a model-based closed-loop fluid resuscitation controller using mean arterial pressure (MAP) feedback is designed and later evaluated on an in-silico testbed. The controller is based on a subject specific model of blood volume and MAP response to fluid infusion. This simple hemodynamic model is described using five parameters only. The model was able to reproduce blood volume and blood pressure response to fluid infusion using an experimental dataset collected from 23 sheep and is therefore suitable to use for control design purposes. A model-reference adaptive control scheme was chosen to account for inter-subject variability captured in the parametric uncertainties of the underlying physiological model. Three versions of the control algorithm were studied under different measurement availability scenarios. In-silico evaluation of the three controllers was done using a comprehensive cardiovascular physiology model on a cohort of 100 virtually generated patients. Results clearly show that a tradeoff exists between tracking and estimation performance depending on measurement availability.