By Topic

On the application of system identification and model validation methods for constructing multivariable anesthesia response models

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Beck, C. ; Dept. of Gen. Eng., Illinois Univ., Urbana, IL, USA ; Smith, R. ; Hui Hung Lin ; Bloom, M.

Investigates the use of multivariable pharmacodynamic models for describing patient response to anesthesia. The main modeling paradigm considered is that of uncertain systems, with the eventual goal of developing robust feedback control methods for automated anesthesia delivery. The authors present an approach to modeling anesthetic response in which multi-input multi-output state-space models are considered as a means of describing the relations that exist between a variety of patient endpoints such as heart rate, mean arterial pressure and EEG signals, to anesthetic inputs and external stimuli. The main focus of the discussion is on the construction of linear time-invariant models via standard system identification methods applied to data from a clinical study of volunteers. The use of model validation techniques for the construction of uncertain systems models and model validation purposes is also discussed

Published in:

Control Applications, 2000. Proceedings of the 2000 IEEE International Conference on

Date of Conference:

2000