title: Noninvasive average flow and differential pressure estimation for an implantable rotary blood pump using dimensional analysis.
abstract: Accurate noninvasive average flow and differential pressure estimation of implantable rotary blood pumps (IRBPs) is an important practical element for their physiological control. While most attempts at developing flow and differential pressure estimate models have involved purely empirical techniques, dimensional analysis utilizes theoretical principles of fluid mechanics that provides valuable insights into parameter relationships. Based on data obtained from a steady flow mock loop under a wide range of pump operating points and fluid viscosities, flow and differential pressure estimate models were thus obtained using dimensional analysis. The algorithm was then validated using data from two other VentrAssist IRBPs. Linear correlations between estimated and measured pump flow over a flow range of 0.5 to 8.0 L/min resulted in a slope of 0.98 ( R(2) = 0.9848). The average flow error was 0.20 +/- 0.14 L/min (mean +/- standard deviation) and the average percentage error was 5.79%. Similarly, linear correlations between estimated and measured pump differential pressure resulted in a slope of 1.027 ( R(2) = 0.997) over a pressure range of 60 to 180 mmHg. The average differential pressure error was 1.84 +/- 1.54 mmHg and the average percentage error was 1.51%.
authors.affiliation: Graduate School of Biomedical Engineering, University of New South Wales, Sydney, New South Wales 2052, Australia.
authors.forename: Einly
authors.initials: E
authors.lastname: Lim
authors.forename: Dean M
authors.initials: DM
authors.lastname: Karantonis
authors.forename: John A
authors.initials: JA
authors.lastname: Reizes
authors.forename: Shaun L
authors.initials: SL
authors.lastname: Cloherty
authors.forename: David G
authors.initials: DG
authors.lastname: Mason
authors.forename: Nigel H
authors.initials: NH
authors.lastname: Lovell
mesh_terms: D000465:Algorithms; D001783:Blood Flow Velocity; D001794:Blood Pressure; D019544:Equipment Failure Analysis / Q000379:methods*; D006353:Heart-Assist Devices; D006801:Humans