Identification for Control of Biomedical Systems using a very Short Experiment
Soltesz, Kristian LU
and Mercader, Pedro
(2016)
2016 International Conference on Systems in Medicine and Biology
p.140-143
- Abstract
- This paper presents a combined experiment and identification procedure, well suited to obtain low-order dynamic models of a patients’ response to continuous drug administration. The experiment requires no a priori information and is of very short duration. The identification method provides both a parametric low-order model, and an estimate of the parameter error covariance. It has been demonstrated to work well with very noisy measurements, as typically encountered in drug dosing applications.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/8571217
- author
- Soltesz, Kristian
LU
and Mercader, Pedro
- organization
- publishing date
- 2016
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Medical control systems, System Identification, Uncertain systems
- host publication
- 2016 International Conference on Systems in Medicine and Biology (ICSMB)
- pages
- 140 - 143
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 2016 International Conference on Systems in Medicine and Biology
- conference location
- Kharagpour, India
- conference dates
- 2016-01-04 - 2016-01-07
- external identifiers
-
- scopus:85019563785
- DOI
- 10.1109/ICSMB.2016.7915107
- project
- Hemodynamic Stabilization
- Automatic Tuning
- Anesthesia in Closed Loop
- language
- English
- LU publication?
- yes
- id
- 2da9dc52-77e9-4f03-92ba-6e3683b2c6e1 (old id 8571217)
- date added to LUP
- 2016-04-04 11:42:48
- date last changed
- 2022-03-15 23:42:02
@inproceedings{2da9dc52-77e9-4f03-92ba-6e3683b2c6e1,
abstract = {{This paper presents a combined experiment and identification procedure, well suited to obtain low-order dynamic models of a patients’ response to continuous drug administration. The experiment requires no a priori information and is of very short duration. The identification method provides both a parametric low-order model, and an estimate of the parameter error covariance. It has been demonstrated to work well with very noisy measurements, as typically encountered in drug dosing applications.}},
author = {{Soltesz, Kristian and Mercader, Pedro}},
booktitle = {{2016 International Conference on Systems in Medicine and Biology (ICSMB)}},
keywords = {{Medical control systems; System Identification; Uncertain systems}},
language = {{eng}},
pages = {{140--143}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
title = {{Identification for Control of Biomedical Systems using a very Short Experiment}},
url = {{https://lup.lub.lu.se/search/files/5837728/8571220.pdf}},
doi = {{10.1109/ICSMB.2016.7915107}},
year = {{2016}},
}