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Optimizing robust PID control of propofol anesthesia for children; design and clinical evaluation

van Heusden, Klaske; Soltesz, Kristian LU ; Cooke, Erin; Brodie, Sonia; West, Nicholas; Ansermino, J. Mark and Dumont, Guy A. (2019) In IEEE Transactions on Biomedical Engineering
Abstract
Objective: The goal of this study was to optimize robust PID control for propofol anesthesia in children aged 5-10 years to improve performance, particularly to decrease the time of induction of anesthesia while maintaining robustness.

Methods: We analyzed results of a previous study conducted by our group to identify opportunities for system improvement. Allometric scaling was introduced to reduce the interpatient variability and a new robust PID controller was designed using an optimization based method. We evaluated this optimized design in a clinical study involving 16 new cases.

Results: The optimized controller design achieved the performance predicted in simulation studies in the design stage. Time of induction of... (More)
Objective: The goal of this study was to optimize robust PID control for propofol anesthesia in children aged 5-10 years to improve performance, particularly to decrease the time of induction of anesthesia while maintaining robustness.

Methods: We analyzed results of a previous study conducted by our group to identify opportunities for system improvement. Allometric scaling was introduced to reduce the interpatient variability and a new robust PID controller was designed using an optimization based method. We evaluated this optimized design in a clinical study involving 16 new cases.

Results: The optimized controller design achieved the performance predicted in simulation studies in the design stage. Time of induction of anesthesia was median [Q1, Q3] 3.7 [2.3, 4.1] minutes and the achieved global score was 13.4 [9.9, 16.8].

Conclusion: Allometric scaling reduces the interpatient variability in this age group, and allows for improved closed-loop performance. The uncertainty described by the model set, the predicted closedloop responses and the predicted robustness margins are realistic. The system meets the design objectives of improved speed of induction of anesthesia while maintaining robustness, improving clinically relevant system behavior.

Significance: Control system optimization and ongoing system improvement are essential to the development of a clinically relevant commercial device. This paper demonstrates the validity of our approach, including system modeling, controller optimization and pre-clinical testing in simulation. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
epub
subject
in
IEEE Transactions on Biomedical Engineering
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • scopus:85061524969
ISSN
0018-9294
DOI
10.1109/TBME.2019.2898194
language
English
LU publication?
yes
id
8620add8-08d8-4480-b272-9ca3b9e86b7c
date added to LUP
2019-02-06 16:35:49
date last changed
2019-03-19 04:05:06
@article{8620add8-08d8-4480-b272-9ca3b9e86b7c,
  abstract     = {Objective: The goal of this study was to optimize robust PID control for propofol anesthesia in children aged 5-10 years to improve performance, particularly to decrease the time of induction of anesthesia while maintaining robustness.<br/><br/>Methods: We analyzed results of a previous study conducted by our group to identify opportunities for system improvement. Allometric scaling was introduced to reduce the interpatient variability and a new robust PID controller was designed using an optimization based method. We evaluated this optimized design in a clinical study involving 16 new cases.<br/><br/>Results: The optimized controller design achieved the performance predicted in simulation studies in the design stage. Time of induction of anesthesia was median [Q1, Q3] 3.7 [2.3, 4.1] minutes and the achieved global score was 13.4 [9.9, 16.8]. <br/><br/>Conclusion: Allometric scaling reduces the interpatient variability in this age group, and allows for improved closed-loop performance. The uncertainty described by the model set, the predicted closedloop responses and the predicted robustness margins are realistic. The system meets the design objectives of improved speed of induction of anesthesia while maintaining robustness, improving clinically relevant system behavior.<br/><br/>Significance: Control system optimization and ongoing system improvement are essential to the development of a clinically relevant commercial device. This paper demonstrates the validity of our approach, including system modeling, controller optimization and pre-clinical testing in simulation.},
  author       = {van Heusden, Klaske and Soltesz, Kristian and Cooke, Erin and Brodie, Sonia and West, Nicholas and Ansermino, J. Mark and Dumont, Guy A.},
  issn         = {0018-9294},
  language     = {eng},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  series       = {IEEE Transactions on Biomedical Engineering},
  title        = {Optimizing robust PID control of propofol anesthesia for children; design and clinical evaluation},
  url          = {http://dx.doi.org/10.1109/TBME.2019.2898194},
  year         = {2019},
}