Quantification of the variability in response to propofol administration in children
van Heusden, Klaske ; Ansermino, J. Mark ; Soltesz, Kristian LU
; Khosravi, Sara
; West, Nicholas
and Dumont, Guy A.
(2013)
In IEEE Transactions on Biomedical Engineering
60(9).
p.2521-2529
- Abstract
- Closed-loop control of anesthesia is expected to decrease drug dosage and wake up time while increasing patient safety and decreasing the work load of the anesthesiologist. The potential of closed-loop control in anesthesia has been demon- strated in several clinical studies. One of the challenges in the development of a closed-loop system that can be widely accepted by clinicians and regulatory authorities is the effect of inter- patient variability in drug sensitivity. This system uncertainty may lead to unacceptable performance, or even instability of the closed-loop system for some individuals. The development of reliable models of the effect of anesthetic drugs and charac- terization of the uncertainty is therefore an important step... (More)
- Closed-loop control of anesthesia is expected to decrease drug dosage and wake up time while increasing patient safety and decreasing the work load of the anesthesiologist. The potential of closed-loop control in anesthesia has been demon- strated in several clinical studies. One of the challenges in the development of a closed-loop system that can be widely accepted by clinicians and regulatory authorities is the effect of inter- patient variability in drug sensitivity. This system uncertainty may lead to unacceptable performance, or even instability of the closed-loop system for some individuals. The development of reliable models of the effect of anesthetic drugs and charac- terization of the uncertainty is therefore an important step in the development of a closed-loop system. Model identification from clinical data is challenging due to limited excitation and the lack of validation data. In this paper, approximate models are therefore validated for controller design by evaluating the predictive accuracy of the closed-loop behavior. A set of 47 validated models that describe the inter-patient variability in the response to propofol in children is presented. This model set can be used for robust linear controller design provided that the experimental conditions are similar to the conditions during data collection. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/3634145
- author
- van Heusden, Klaske
; Ansermino, J. Mark
; Soltesz, Kristian
LU
; Khosravi, Sara
; West, Nicholas
and Dumont, Guy A.
- organization
- publishing date
- 2013
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- anesthesia, system identification, robust control
- in
- IEEE Transactions on Biomedical Engineering
- volume
- 60
- issue
- 9
- pages
- 2521 - 2529
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- external identifiers
-
- wos:000323518900016
- scopus:84883009745
- pmid:23629839
- ISSN
- 1558-2531
- DOI
- 10.1109/TBME.2013.2259592
- project
- Anesthesia in Closed Loop
- LCCC
- language
- English
- LU publication?
- yes
- id
- b5cec175-8819-4f23-bb73-49abc24e5601 (old id 3634145)
- date added to LUP
- 2016-04-01 12:53:19
- date last changed
- 2022-05-19 08:29:10
@article{b5cec175-8819-4f23-bb73-49abc24e5601,
abstract = {{Closed-loop control of anesthesia is expected to decrease drug dosage and wake up time while increasing patient safety and decreasing the work load of the anesthesiologist. The potential of closed-loop control in anesthesia has been demon- strated in several clinical studies. One of the challenges in the development of a closed-loop system that can be widely accepted by clinicians and regulatory authorities is the effect of inter- patient variability in drug sensitivity. This system uncertainty may lead to unacceptable performance, or even instability of the closed-loop system for some individuals. The development of reliable models of the effect of anesthetic drugs and charac- terization of the uncertainty is therefore an important step in the development of a closed-loop system. Model identification from clinical data is challenging due to limited excitation and the lack of validation data. In this paper, approximate models are therefore validated for controller design by evaluating the predictive accuracy of the closed-loop behavior. A set of 47 validated models that describe the inter-patient variability in the response to propofol in children is presented. This model set can be used for robust linear controller design provided that the experimental conditions are similar to the conditions during data collection.}},
author = {{van Heusden, Klaske and Ansermino, J. Mark and Soltesz, Kristian and Khosravi, Sara and West, Nicholas and Dumont, Guy A.}},
issn = {{1558-2531}},
keywords = {{anesthesia; system identification; robust control}},
language = {{eng}},
number = {{9}},
pages = {{2521--2529}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
series = {{IEEE Transactions on Biomedical Engineering}},
title = {{Quantification of the variability in response to propofol administration in children}},
url = {{https://lup.lub.lu.se/search/files/3029839/4001856.pdf}},
doi = {{10.1109/TBME.2013.2259592}},
volume = {{60}},
year = {{2013}},
}