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Journal of Clinical Monitoring and Computing

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01.12.2014 | Original Research

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

verfasst von: Clara M. Ionescu, Ioana Nascu, Robin De Keyser

Erschienen in: Journal of Clinical Monitoring and Computing | Ausgabe 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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Titel: Lessons learned from closed loops in engineering: towards a multivariable approach regulating depth of anaesthesia
verfasst von: Clara M. Ionescu
Ioana Nascu
Robin De Keyser
Publikationsdatum: 01.12.2014
Verlag: Springer Netherlands
Erschienen in: Journal of Clinical Monitoring and Computing / Ausgabe 6/2014
Print ISSN: 1387-1307
Elektronische ISSN: 1573-2614
DOI: https://doi.org/10.1007/s10877-013-9535-5

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