Abstract
A noninvasive approach to the task of pulsatile flow estimation in an implantable rotary blood pump (iRBP) has been proposed. Employing six fluid solutions representing a range of viscosities equivalent to 20-50% blood hematocrit (HCT), pulsatile flow data was acquired from an in vitro mock circulatory loop. The entire operating range of the pump was examined, including flows from -2 to 12 L/min. Taking the pump feedback signals of speed and power, together with the HCT level, as input parameters, several flow estimate models were developed via system identification methods. Three autoregressive with exogenous input (ARX) model structures were evaluated: structures I and II used the input parameters directly; structure II incorporated additional terms for HCT; and the third structure employed as input a non-pulsatile flow estimate equation. Optimal model orders were determined, and the associated models yielded minimum mean flow errors of 5.49% and 0.258 L/min for structure II, and 5.77% and 0.270 L/min for structure III, when validated on unseen data. The models developed in this study present a practical method of accurately estimating iRBP flow in a pulsatile environment.
Original language | English |
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Title of host publication | 2007 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Vols 1-16 |
Pages | 1018-1021 |
Number of pages | 4 |
DOIs | |
Publication status | Published - 2007 |
Externally published | Yes |
Event | International Conference of the IEEE Engineering in Medicine and Biology Society 2007 - Centre de Congres, Lyon, France Duration: 22 Aug 2007 → 26 Aug 2007 Conference number: 29th https://ieeexplore.ieee.org/xpl/conhome/4352184/proceeding (Proceedings) |
Conference
Conference | International Conference of the IEEE Engineering in Medicine and Biology Society 2007 |
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Abbreviated title | EMBC 2007 |
Country/Territory | France |
City | Lyon |
Period | 22/08/07 → 26/08/07 |
Other | held in conjunction with the Biennial Conference of the French society of Biological and Medical Engineering (SFGBM) |
Internet address |