Abstract
Coronary heart disease, one of the leading causes of death globally, is characterized by the buildup of plaque in the coronary arteries. A common treatment for this is stent placement, however the plaque can return, or form restenosis, on the stent. Thus, researchers developed smart stents, or stents that can measure the pressure inside the coronary artery and inform patients as well as doctors of restenosis. However, measurement and accuracy of in-stent pressure were documented in previous literature as a major challenge. Therefore, this study was set to develop a test for the accuracy of smart stents, investigate the effects of sensor redundancy, and develop a novel method for measuring in-stent restenosis. Based upon Clarke's error grid analysis, a method for testing smart stent accuracy was developed. After simulating coronary artery in-stent restenosis and testing the smart stent models, the accuracy of in-stent restenosis measurement was found to decrease with plaque buildup as well as heart rate and increase with the number of sensors. Thus, a novel method for measuring in-stent restenosis for coronary heart disease patients was developed and validated successfully.
Published Version
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