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Journal of Clinical Monitoring and Computing
Published in: Journal of Clinical Monitoring and Computing 6/2014

01-12-2014 | Original Research

Lessons learned from closed loops in engineering: towards a multivariable approach regulating depth of anaesthesia

Authors: Clara M. Ionescu, Ioana Nascu, Robin De Keyser

Published in: Journal of Clinical Monitoring and Computing | Issue 6/2014

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Abstract

In this paper is presented a brief state of art regarding the multivariable formulation for controlling the depth of anaesthesia by means of two intravenously administrated drugs, i.e. propofol and remifentanil. In a feasibility study of determining a suitable variable to quantify analgesia levels in patients undergoing cardiac surgery, the bispectral index and an electromyogram-based surrogate variable are proposed as the controlled variables. The study is carried on in the context of implementing a multivariable predictive control algorithm. The simulation results show that such a paradigm is feasible, although it does not guarantee perfect knowledge of the analgesia level—in other words, the variable is not validated against typical evaluations of the pain levels (e.g. clinical scores).
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Metadata
Title
Lessons learned from closed loops in engineering: towards a multivariable approach regulating depth of anaesthesia
Authors
Clara M. Ionescu
Ioana Nascu
Robin De Keyser
Publication date
01-12-2014
Publisher
Springer Netherlands
Published in
Journal of Clinical Monitoring and Computing / Issue 6/2014
Print ISSN: 1387-1307
Electronic ISSN: 1573-2614
DOI
https://doi.org/10.1007/s10877-013-9535-5

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