MODELING AND ANALYSIS OF PATIENT-SPECIFIC CARDIOVASCULAR CONTROL
Date
2024-05
Authors
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Journal ISSN
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Publisher
University of Delaware
Abstract
High blood pressure is a significant risk factor for cardiovascular diseases. To
help analyze the causes and effects of high blood pressure, we develop a patient specific cardiovascular and nervous system model. By utilizing patient-specific
continuous blood pressure data and heart rate data from healthy and hypertensive
individuals, future steps of this project will seek to gain insights into potential
hypertension therapies and inter-patient variability through in-silico trials. Our
approach involves integrating the frameworks and equations from two existing but
distinct cardiovascular models. By merging the models, we aim to leverage the
comprehensive capabilities of the first with the personalized, adaptive features of the
second, creating a model that enhances our understanding of how inter-individual
variability contributes to diversity in therapeutic responses and capabilities for
individualized treatments. Our project builds primarily on the first model, which
incorporates desired cardiovascular and nervous system components. The second
model has been tailored to capture patient-specific variations, offering the ability to
incorporate individual physiological differences into our simulations. The model is
developed and almost fully integrated with only a few module connections remaining;
once the model is closed, it will serve as a strong tool for future extended patient specific research.