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- W4306177513 abstract "Introduction: Current left ventricular assist devices (LVADs) are set at a fixed RPM; and are unable to adjust to physiological demands irrespective of preload or afterload conditions. An autonomous control of LVADs has the potential to reduce septal shift, preserve right ventricle function, and meet physiological demands. A highly innovative resonantly coupled regimen is presented which can achieve this goal. Methods: We introduce resonantly coupled sensors to measure the ventricular chamber size. A decrease in transmission coefficient (S21) is observed as the distance between the sensors increases. Ventricular chamber size is predicted using a 2nd-degree polynomial regression model. A regimen of an apical epicardial sensor (SA) and outflow graft sensors (SO1, SO2, and SO3) is investigated. The minimum and maximum distances are 50-150 mm, 100-200 mm, and 50-150 mm, respectively. A porcine model was used for experimentation. Results: Our polynomial regression model predicted distance between the sensors with a mean absolute percentage error of 2.1%, 1.24%, and 2.4% for the three positions of the outflow sensor when compared with experimental results. A high degree of accuracy (98%) between predicted and observed size was obtained. Conclusion: We have demonstrated a reliable sensor methodology without drift for assessing ventricular chamber size in an LVAD patient. This will pave way for autonomous control of LVAD based on ventricular size. This method of prediction has the potential to prevent adverse outcomes for LVAD patients with physiological perturbations that would otherwise go unnoticed until their next hospital visit." @default.
- W4306177513 created "2022-10-14" @default.
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- W4306177513 date "2022-10-17" @default.
- W4306177513 modified "2023-10-17" @default.
- W4306177513 title "Assessment of Ventricular Chamber Size in Left Ventricular Assist Devices Using Resonantly Coupled High-Efficiency Sensors" @default.
- W4306177513 doi "https://doi.org/10.1097/01.xcs.0000895656.28668.28" @default.
- W4306177513 hasPublicationYear "2022" @default.
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