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This paper investigates the best method for obtaining highly accurate blood pressure values in non-invasive measurements when using an ultrasound sensor. Deviations of the model should be less than 5 mmHg from the actual values. Different blood pressure models were analyzed and qualitatively compared. Relevant arterial parameters such as luminal area, flow velocity and pulse wave velocity, of 729 subjects were extracted from a computer simulated database and served as input parameters. Due to pulse wave variations through the arterial tree, such as viscoelasticity and arterial stiffness, the applied algorithms need to be specifically adapted to each arterial site. In-silico model comparison at different arterial sites were used to identify the parameters for individual equations that deduce the blood pressure at different arteries (carotid, brachial and radial). A linear model calibrated luminal area pulse wave to blood pressure and revealed to be most accurate model. The model was validated with a commercial pressure sensor in an ex-vivo experimental setup. The results showed an in-silico pulse pressure correlation of 0:978 and mean difference of (-2.134 ±2.477) mmHg at the radial artery and ex-vivo pressure correlation of 0:994 and mean difference of (0.554 ±2.315) mmHg. |
