Static state hemodynamic variables estimation model for the moving-actuator type total artificial heart - Part II - Aortic pressure estimation

Aortic pressure (AoP) estimation is a very important study for the artifici al heart. In this paper, we developed a AoP estimation model for the moving -actuator type total artificial heart (MH-TAH) that was being developed at Seoul National University Hospital. The proposed model is simple and provid es beat-by-beat mean AoP estimation. Moreover, it uses non-invasively acqui red signals. Model parameters were adjusted with in vitro data by least mea n square (LMS) algorithm. Results showed that the proposed scheme gives a m ean estimation error of about 8 (mmHg). This ensures the suitability of the proposed model. The proposed approach can also be applied to the model set up of pulmonary arterial pressure (PAP) estimation by using the symmetric c haracteristics between AoP and PAP.