Frank-starling control of a left ventricular assist device
Stevens, Michael, Gaddum, Nicholas Richard, Pearcy, Mark J., Salamonsen , Robert, Timms, Daniel L., Mason, David G, & Fraser, John (2011) Frank-starling control of a left ventricular assist device. In Lovell, Nigel (Ed.) Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE (Institute of Electrical and Electronics Engineers), Boston Marriott Copley Place Hotel, Boston, MA, pp. 1335-1338.
A physiological control system was developed for a rotary left ventricular assist device (LVAD) in which the target pump flow rate (LVADQ) was set as a function of left atrial pressure (LAP), mimicking the Frank-Starling mechanism. The control strategy was implemented using linear PID control and was evaluated in a pulsatile mock circulation loop using a prototyped centrifugal pump by varying pulmonary vascular resistance to alter venous return. The control strategy automatically varied pump speed (2460 to 1740 to 2700 RPM) in response to a decrease and subsequent increase in venous return. In contrast, a fixed-speed pump caused a simulated ventricular suction event during low venous return and higher ventricular volumes during high venous return. The preload sensitivity was increased from 0.011 L/min/mmHg in fixed speed mode to 0.47L/min/mmHg, a value similar to that of the native healthy heart. The sensitivity varied automatically to maintain the LAP and LVADQ within a predefined zone. This control strategy requires the implantation of a pressure sensor in the left atrium and a flow sensor around the outflow cannula of the LVAD. However, appropriate pressure sensor technology is not yet commercially available and so an alternative measure of preload such as pulsatility of pump signals should be investigated.
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|Item Type:||Conference Paper|
|Keywords:||Biomedical monitoring , Blood , Control systems , Educational institutions , Heart , Sensitivity|
|Subjects:||Australian and New Zealand Standard Research Classification > ENGINEERING (090000)|
|Divisions:||Current > Schools > School of Chemistry, Physics & Mechanical Engineering|
Current > Schools > School of Electrical Engineering & Computer Science
Current > Institutes > Institute of Health and Biomedical Innovation
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2012 IEEE|
|Copyright Statement:||This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible|
|Deposited On:||18 Jul 2012 08:21|
|Last Modified:||24 Jul 2012 02:32|
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