Seamless integration of target-controlled infusion and closed-loop anesthesia
(2025)- Abstract
- The anesthetic drug propofol is commonly used to control hypnotic depth (suppression of awareness) in patients undergoing surgery or intensive care. In addition to manual titration, a model-based open-loop feed-forward strategy called target-controlled infusion (TCI) has attained some clinical popularity. Research on closed-loop control, with awareness estimates derived from an electroencephalogram (EEG), has proven feasible through several extensive clinical studies over the past decades. While TCI is vulnerable to model imperfections, closed-loop control is susceptible to corrupt measurements. By combining Kalman-filter-based state estimation with model predictive control (MPC), we introduce a novel anesthetic dosing regimen that can... (More)
- The anesthetic drug propofol is commonly used to control hypnotic depth (suppression of awareness) in patients undergoing surgery or intensive care. In addition to manual titration, a model-based open-loop feed-forward strategy called target-controlled infusion (TCI) has attained some clinical popularity. Research on closed-loop control, with awareness estimates derived from an electroencephalogram (EEG), has proven feasible through several extensive clinical studies over the past decades. While TCI is vulnerable to model imperfections, closed-loop control is susceptible to corrupt measurements. By combining Kalman-filter-based state estimation with model predictive control (MPC), we introduce a novel anesthetic dosing regimen that can transition seamlessly between TCI and closed-lloop control, thus constituting an adequate trade-off between model and measurement reliance. We introduce this regimen and provide a realistic simulation example that highlights its strengths compared to pure TCI or closed-loop control of propofol infusion. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/dd633fff-6717-46b8-b382-53419b4e3596
- author
- Wahlquist, Ylva
LU
and Soltesz, Kristian
LU
- organization
- publishing date
- 2025
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- in press
- subject
- host publication
- The 2025 American Control Conference (ACC)
- project
- Hemodynamic Stabilization
- language
- English
- LU publication?
- yes
- id
- dd633fff-6717-46b8-b382-53419b4e3596
- date added to LUP
- 2024-09-27 10:51:17
- date last changed
- 2025-04-04 14:55:38
@inproceedings{dd633fff-6717-46b8-b382-53419b4e3596, abstract = {{The anesthetic drug propofol is commonly used to control hypnotic depth (suppression of awareness) in patients undergoing surgery or intensive care. In addition to manual titration, a model-based open-loop feed-forward strategy called target-controlled infusion (TCI) has attained some clinical popularity. Research on closed-loop control, with awareness estimates derived from an electroencephalogram (EEG), has proven feasible through several extensive clinical studies over the past decades. While TCI is vulnerable to model imperfections, closed-loop control is susceptible to corrupt measurements. By combining Kalman-filter-based state estimation with model predictive control (MPC), we introduce a novel anesthetic dosing regimen that can transition seamlessly between TCI and closed-lloop control, thus constituting an adequate trade-off between model and measurement reliance. We introduce this regimen and provide a realistic simulation example that highlights its strengths compared to pure TCI or closed-loop control of propofol infusion.}}, author = {{Wahlquist, Ylva and Soltesz, Kristian}}, booktitle = {{The 2025 American Control Conference (ACC)}}, language = {{eng}}, title = {{Seamless integration of target-controlled infusion and closed-loop anesthesia}}, url = {{https://lup.lub.lu.se/search/files/206408299/root.pdf}}, year = {{2025}}, }