• Guy A Dumont and J Mark Ansermino.
• From the Departments of *Electrical & Computer Engineering and †Anesthesiology, Pharmacology & Therapeutics, University of British Columbia; and ‡Department of Anesthesia, BC Children's Hospital, Vancouver, British Columbia, Canada.
• Anesth. Analg.. 2013 Nov 1;117(5):1130-8.

AbstractFeedback control is ubiquitous in nature and engineering and has revolutionized safety in fields from space travel to the automobile. In anesthesia, automated feedback control holds the promise of limiting the effects on performance of individual patient variability, optimizing the workload of the anesthesiologist, increasing the time spent in a more desirable clinical state, and ultimately improving the safety and quality of anesthesia care. The benefits of control systems will not be realized without widespread support from the health care team in close collaboration with industrial partners. In this review, we provide an introduction to the established field of control systems research for the everyday anesthesiologist. We introduce important concepts such as feedback and modeling specific to control problems and provide insight into design requirements for guaranteeing the safety and performance of feedback control systems. We focus our discussion on the optimization of anesthetic drug administration.

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