A surrogate arm model was created that is capable of being used for oscillometry. This model is capable of being used as a bench top model for blood pressure cuff devices. The arm consists of endplates and internal supports that are 3D printed with ABS, a silicone rubber outer sleeve, and interchangeable arteries made from two silicone rubber strips glued together at the edges. The interchangeable arteries have varying compliances that can be used as different inputs for oscillometric testing. A process was established to measure the artery compliances with a curve fit correlation of 0.95. However, testing revealed that this artery compliance relationship might not be an accurate representation of the artery compliance while it is in the surrogate arm system. A blood pressure cuff was also used with the surrogate arm model to measure changes in artery volume. Testing with the surrogate arm revealed a blood pressure cuff was capable of measuring artery volume changes of 2mL to 8mL consistently within 3.28% error. Volume changes of 1mL were unable to be repeatable measured accurately with a blood pressure cuff.

A study was performed on a recently developed prototype of the Yong-Geddes surrogate arm design to collect compliance data of the various system components and determine the accuracy of measurements made through the bench top model. The study was performed to perceive the effectiveness of the model as a tool for validating non-invasive blood pressure detection monitors. Three stages of testing were performed to gather pressure and volume data from an artificial artery component, a sphygmomanometer, and the surrogate arm system to produce compliance estimations. Mathematical equations from supported arterial hemodynamics studies and clinical trials were applied to the pressure and volume data. Dr. Drzewiecki’s equation for arterial compliance was capable of predicting the region of the highest compliance of the artificial artery and produced an overall value of 38.81% for the data. A second degree inverse polynomial was developed and modeled the sphygmomanometer compliance measurements with a of 99.09%. Significant error was observed throughout all stages of the compliance testing, which was attributed to factors such as excessive noise due to faulty data collection equipment and irreparable leaks in the fluid flow system.