NDLI: Modeling and model predictive control of hemodynamic variables during hemodialysis

Content Provider	IEEE Xplore Digital Library
Author	Javed, F. Savkin, A.V. Chan, G.S.H. Mackie, J.D.
Copyright Year	2010
Description	Author affiliation: School of Electrical Engineering and Telecommunications, The University of New South Wales, Sydney, 2052, Australia (Javed, F.; Savkin, A.V.; Chan, G.S.H.) \|\| Prince of Wales, Hospital, Sydney, NSW, 2031, Australia (Mackie, J.D.)
Abstract	Fluid removal during hemodialysis leads to relative hypovolemia that may cause hemodynamic instability in end-stage renal failure patients. To maintain the hemodynamic stability of patients, this paper proposes a linear parameter-varying (LPV) system based model predictive control (MPC) approach to regulate the hemodynamic variables during hemodialysis. The system uses ultrafiltration rate (UFR) as the control input and tracks the changes in relative blood volume (RBV) and percentage change in heart rate (ΔHR(%)) during hemodialysis while maintaining the UFR as well as the percentage change in systolic blood pressure (ΔSBP(%)) within certain bounds. MPC based approach is utilized to account for system variability and to explicitly handle the constraints on the control input as well as the system output. To model the hemodynamic variables, multiple LPV systems are introduced. The control algorithm tracks the changes in RBV and ΔHR to follow reference trajectories. The system parameters are updated at each control interval to get the best fitting into the parameterized model. The simulation results show that while keeping the control input as well as the output within a practically realizable bounds, the system is able to regulate RBV and ΔHR to pre-defined trajectories as well as maintaining ΔSBP within bounds by adjusting the UFR. Such systems can help to ensure the stability of patient undergoing hemodialysis by avoiding sudden change in hemodynamic variables.
Starting Page	4673
Ending Page	4678
File Size	216692
Page Count	6
File Format	PDF
ISBN	9781424477456
ISSN	07431546
e-ISBN	9781424477463
DOI	10.1109/CDC.2010.5717748
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-15
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hemodynamics Blood Trajectory Heart rate Biomedical monitoring Predictive models hemodynamic variables Model predictive control linear parameter varying system hemodialysis
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Modeling and Simulation

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