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Session: Poster Session 1 (Even numbers)
Session starts: Thursday 26 January, 16:00
Presentation starts: 16:00

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Hamed Moradi (Department of Biomedical Engineering, Eindhoven University of Technology)
Frans van de Vosse (Department of Biomedical Engineering, Eindhoven University of Technology)
Wouter Huberts (Department of Biomedical Engineering, Eindhoven University of Technology)

Abstract:
Implementing a pulmonary artery pressure sensor (PAPS) and continuous pressure monitoring improves patient management and significantly reduces HF patients' hospitalization rates [1]. The utility of PAPS is compromised by thrombus formation, device detachment, and migration. Therefore, precise device design and efficacy evaluation are of paramount importance. The use of virtual patient cohorts based on realistic cardiovascular models can help the verification and validation of the sensor because model parameter variations can create a large number of virtual patients that cover a wide variety of patients' phenotypes [2], something that can hardly be achieved in real clinical trials. The aim of this study was the development and validation of a model of an HF patient that realistically mimics the hemodynamics in the pulmonary both with and without a sensor implanted and can serve as the basis for a virtual cohort generator. To create the model, a 3D geometry of the pulmonary artery was coupled to a 0D lumped parameter model, which enables us to have a realistic simulation of PAPS. The 0D model estimates the human cardiovascular system's physiological flow and pressure waveforms at the boundaries of the 3D domain, whereas the 3D model gives a detailed picture of the local pressure and velocity fields around the PAPS. The parameters of the left and right ventricles' lumped model are changed to simulate the sick heart and the resulting pulmonary hypertensive situation. Validation of the simulated hemodynamics and the PAP sensor with literature and experiments showed a good alignment with them. For the evaluation of the PAPS, the output of interest can be listed as the pressure at the sensor's location, wall shear stress, the net force on the sensor, and the flow distribution through the side branches of PA. The developed model enables us to investigate all physiological and non-physiological parameters in cardiovascular patients and devices. Moreover, it can now be used to generate realistic virtual patient cohorts.