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An aortic pressure estimation model for a moving-actuator type total artificial heart demonstrated a mean estimation error of about 8 mmHg using in vitro data.
A novel non-invasive aortic pressure estimation model for a total artificial heart demonstrated a low mean estimation error of 8 mmHg in vitro.
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May enable non-invasive aortic pressure monitoring in total artificial hearts; leaves open in vivo validation before clinical use.
Aortic pressure (AoP) estimation is a very important study for the artificial heart. In this paper, we developed a AoP estimation model for the moving-actuator type total artificial heart (MHTAH) that was being developed at Seoul National University Hospital. The proposed model is simple and provides beat-by-beat mean AoP estimation. Moreover, it uses non-invasively acquired signals. Model parameters were adjusted with in vitro data by least mean square (LMS) algorithm. Results showed that the proposed scheme gives a mean estimation error of about 8 (mmHg). This ensures the suitability of the proposed model. The proposed approach can also be applied to the model setup of pulmonary arterial pressure (PAP) estimation by using the symmetric characteristics between AoP and PAP.
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Om et al. (1999) studied Total artificial heart. Aortic pressure estimation model for the moving-actuator type total artificial heart was evaluated on Mean estimation error. An aortic pressure estimation model for a moving-actuator type total artificial heart demonstrated a mean estimation error of about 8 mmHg using in vitro data.
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