Model predictive control of relative blood volume and heart rate during hemodialysis

To maintain the hemodynamic stability of patient undergoing hemodialysis, this article proposes a novel model-based control methodology to regulate the changes in relative blood volume (RBV) and percentage change in heart rate (∆HR(%)) during hemodialysis by adjusting the ultrafiltration rate (UFR)....

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Bibliographic Details
Published in:Medical & biological engineering & computing 2010-04, Vol.48 (4), p.389-397
Main Authors: Javed, Faizan, Savkin, Andrey V, Chan, Gregory S. H, Middleton, Paul M, Malouf, Philip, Steel, Elizabeth, Mackie, James, Cheng, Teddy M
Format: Article
Language:English
Subjects:
Aged
Algorithms
Biofeedback
Biomedical and Life Sciences
Biomedical Engineering and Bioengineering
Biomedicine
Blood pressure
Blood Volume - physiology
Circulatory system
Computer Applications
Control algorithms
Dialysate
Dialyzers
Electrocardiography - methods
Feedback
Heart rate
Heart Rate - physiology
Hemodiafiltration - methods
Hemodialysis
Hemodynamics
Human Physiology
Humans
Hypotension
Imaging
Kidney diseases
Middle Aged
Models, Cardiovascular
Original Article
Patients
Predictive control
Radiology
Signal Processing, Computer-Assisted
Studies
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Summary:To maintain the hemodynamic stability of patient undergoing hemodialysis, this article proposes a novel model-based control methodology to regulate the changes in relative blood volume (RBV) and percentage change in heart rate (∆HR(%)) during hemodialysis by adjusting the ultrafiltration rate (UFR). The control algorithm uses model predictive control (MPC) to account for system variability and to explicitly handle the constraints on UFR. Linear state-space system with time-varying parameters is introduced to model the RBV and ∆HR. MPC was used to track the change in RBV and ∆HR to pre-defined reference trajectories. At each sampling instant, the system parameters are updated to get the best fitting into the parameterized model. Simulation results demonstrate that the system is able to regulate RBV and ∆HR to the reference by adjusting UFR while keeping it within practically realizable bounds. The results show that adjusting UFR may improve the stability of patient during dialysis when compared to conventional hemodialysis with constant UFR.
ISSN:0140-0118
1741-0444
DOI:10.1007/s11517-010-0582-5