Non-invasive estimation and control of inlet pressure in an implantable rotary blood pump for heart failure patients

AlOmari, A. H., Savkin, A. V., Ayre, P. J., Lim, E., Mason, D. G., Salamonsen, R. F., Fraser, J. F. and Lovell, N. H. (2011) Non-invasive estimation and control of inlet pressure in an implantable rotary blood pump for heart failure patients. Physiological Measurement, 32 8: 1035-1060. doi:10.1088/0967-3334/32/8/004


Author AlOmari, A. H.
Savkin, A. V.
Ayre, P. J.
Lim, E.
Mason, D. G.
Salamonsen, R. F.
Fraser, J. F.
Lovell, N. H.
Title Non-invasive estimation and control of inlet pressure in an implantable rotary blood pump for heart failure patients
Journal name Physiological Measurement   Check publisher's open access policy
ISSN 0967-3334
1361-6579
Publication date 2011-08
Sub-type Article (original research)
DOI 10.1088/0967-3334/32/8/004
Volume 32
Issue 8
Start page 1035
End page 1060
Total pages 26
Place of publication Temple Back, Bristol, U.K.
Publisher Institute of Physics Publishing
Collection year 2012
Language eng
Formatted abstract
We propose a dynamical model for mean inlet pressure estimation in an implantable rotary blood pump during the diastolic period. Non-invasive measurements of pump impeller rotational speed (ω), motor power (P), and pulse width modulation signal acquired from the pump controller were used as inputs to the model. The model was validated over a wide range of speed ramp studies, including (i) healthy (C1), variations in (ii) heart contractility (C2); (iii) afterload (C2, C3, C4), and (iv) preload (C5, C6, C7). Linear regression analysis between estimated and extracted mean inlet pressure obtained from in vivo animal data (greyhound dogs, N = 3) resulted in a highly significant correlation coefficients (R2 = 0.957, 0.961, 0.958, 0.963, 0.940, 0.946, and 0.959) and mean absolute errors of (e = 1.604, 2.688, 3.667, 3.990, 2.791, 3.215, and 3.225 mmHg) during C1, C2, C3, C4, C5, C6, and C7, respectively. The proposed model was also used to design a controller to regulate mean diastolic pump inlet pressure using non-invasively measured ω and P. In the presence of model uncertainty, the controller was able to track and settle to the desired input within a finite number of sampling periods and minimal error (0.92 mmHg). The model developed herein will play a crucial role in developing a robust control system of the pump that detects and thus avoids undesired pumping states by regulating the inlet pressure within a predefined physiologically realistic limit.
Keyword Implantable rotary blood pump
Ventricular assist device
Deadbeat controller
Inlet pressure estimation
Inlet pressure control
Pumping states
Implantable rotary blood pump control
Physiological control
Flow estimation
Sensorless estimation
Computer-simulation
System
Pulsatile
Algorithm
Input
Speed
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2012 Collection
School of Information Technology and Electrical Engineering Publications
School of Medicine Publications
 
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