title: Development of a pump flow estimator for rotary blood pumps to enhance monitoring of ventricular function.
abstract: Estimation of instantaneous flow in rotary blood pumps (RBPs) is important for monitoring the interaction between heart and pump and eventually the ventricular function. Our group has reported an algorithm to derive ventricular contractility based on the maximum time derivative (dQ/dt(max)  as a substitute for ventricular dP/dt(max) ) and pulsatility of measured flow signals. However, in RBPs used clinically, flow is estimated with a bandwidth too low to determine dQ/dt(max)  in the case of improving heart function. The aim of this study was to develop a flow estimator for a centrifugal pump with bandwidth sufficient to provide noninvasive cardiac diagnostics. The new estimator is based on both static and dynamic properties of the brushless DC motor. An in vitro setup was employed to identify the performance of pump and motor up to 20 Hz. The algorithm was validated using physiological ventricular and arterial pressure waveforms in a mock loop which simulated different contractilities (dP/dt(max)  600 to 2300 mm Hg/s), pump speeds (2 to 4 krpm), and fluid viscosities (2 to 4 mPa·s). The mathematically estimated pump flow data were then compared to the datasets measured in the mock loop for different variable combinations (flow ranging from 2.5 to 7 L/min, pulsatility from 3.5 to 6 L/min, dQ/dt(max)  from 15 to 60 L/min/s). Transfer function analysis showed that the developed algorithm could estimate the flow waveform with a bandwidth up to 15 Hz (±2 dB). The mean difference between the estimated and measured average flows was +0.06 ± 0.31 L/min and for the flow pulsatilities -0.27 ± 0.2 L/min. Detection of dQ/dt(max)  was possible up to a dP/dt(max)  level of 2300 mm Hg/s. In conclusion, a flow estimator with sufficient frequency bandwidth and accuracy to allow determination of changes in ventricular contractility even in the case of improving heart function was developed.
authors.affiliation: Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Waehringer Guertel 18-20, Vienna, Austria. marcus.granegger@meduniwien.ac.at
authors.forename: Marcus
authors.initials: M
authors.lastname: Granegger
authors.forename: Francesco
authors.initials: F
authors.lastname: Moscato
authors.forename: Fernando
authors.initials: F
authors.lastname: Casas
authors.forename: Georg
authors.initials: G
authors.lastname: Wieselthaler
authors.forename: Heinrich
authors.initials: H
authors.lastname: Schima
mesh_terms: D000465:Algorithms; D001783:Blood Flow Velocity; D004867:Equipment Design; D006353:Heart-Assist Devices; D006801:Humans; D008955:Models, Cardiovascular; D009200:Myocardial Contraction; D011673:Pulsatile Flow; D016276:Ventricular Function