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Abstract
Hemodynamic Monitoring is a highly valuable guidance during observation, diagnosis and treatment of cardiovascular diseases, cardiovascular include both heart diseases like heart failure and vascular diseases. Hemodynamic parameters are not shorted only on Stroke Volume (SV) and Cardiac Output (CO), but it includes also a lot of very important parameters which are very essential in diseases detection and treatment. This Thesis aim is to build a mathematical model for these parameters, which will help to get easier and accurate calculations. Results show the impact of Gender, Age, Weight, Height, MAP, SPO2 and Hemoglobin on the hemodynamic parameters, also deduced mathematical relations between hemodynamic parameters verified with error less than 3%