Key result
A newly developed mathematical model of ventricular suction demonstrated a mean RMS error of 29.98% compared to 67.41% for an existing model when validated against 23 animal data sets.
Absolute Event Rate: 29.98% vs 67.41%
A newly developed mathematical model of ventricular suction for rotary VADs significantly improved accuracy compared to an existing model, which may aid in future physiologic controller design.
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Improved suction modeling accuracy in animals; leaves open translation to human VAD controller design.
Yu et al. (2006) studied Ventricular suction during rotary ventricular assist device support. Newly developed mathematical model of ventricular suction vs. Existing suction model was evaluated on Mean root-mean-squared (RMS) error. A newly developed mathematical model of ventricular suction demonstrated a mean RMS error of 29.98% compared to 67.41% for an existing model when validated against 23 animal data sets.
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