Key result
A proposed aortic pressure estimation model for a moving-actuator type total artificial heart yielded a mean estimation error of about 8 mmHg using in vitro data.
Effect estimate: Mean estimation error 8 mmHg
A novel aortic pressure estimation model for a moving-actuator total artificial heart demonstrated a mean estimation error of approximately 8 mmHg in vitro.
Provides in vitro feasibility for aortic pressure estimation in total artificial hearts; leaves open in vivo validation before any clinical consideration.
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 (MH-TAH) 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.
No takes yet. Share an insight, caveat, or question.
Om et al. (1999) studied Total artificial heart. Aortic pressure estimation model was evaluated on Mean estimation error of aortic pressure (Mean estimation error 8 mmHg). A proposed aortic pressure estimation model for a moving-actuator type total artificial heart yielded a mean estimation error of about 8 mmHg using in vitro data.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: