MATLAB Modeling of Cardiovascular Response to Hypoxia with Control

Ursino is one of the exceptional authors and researchers who described distinct regulatory mechanisms which control the haemodynamic variables during hypoxia. Obstacles we faced with Ursino are several incomplete implementations of mathematical models, which necessitate combining more than one of his researches. Combining partitions of such researches using different software (MATLAB/SIMULINK) other than what Ursino did use (SIMNON), grant the lead to more polished performance. SIMULINK software is much faster, easier to use, outputs more accurate and fine-tuned signals, with the ability to analyze any output at real-time simulation. Moreover, the implementation of Ursino’s work lacks controlling the overall system, which can be settled using Model Predictive Controller (MPC). This latter is a Multi-Input/Multi-Output (MIMO) controller that carries several outputs of the implemented model and referenced data, giving birth to numerous signals as stimuli for plant-parts of the system. Results show how MPC controller is ruling the thresholds of the sympathetic efferent activities to the heart and vessels, driving them to regulate arterial pressure of oxygen (PaO2) in blood to its initial normal range.