• IEEE Trans Biomed Eng · Jan 2011

    Closed-loop anesthetic drug concentration estimation using clinical-effect feedback.

    • Jin-Oh Hahn, Guy A Dumont, and J Mark Ansermino.
    • Department ofMechanical Engineering, University ofAlberta, Edmonton, AB T6G2R3, Canada. jinoh.hahn@alum.mit.edu
    • IEEE Trans Biomed Eng. 2011 Jan 1;58(1):3-6.

    AbstractThis letter presents a novel closed-loop approach to anesthetic drug concentration estimation using clinical-effect measurement feedback. Compared with the open-loop prediction used in current target-controlled infusion systems, closed-loop estimation exploits the discrepancy between the measured and predicted clinical effects to make corrections to the drug-concentration estimate, achieving improved robustness against variability in the patient pharmacokinetics and pharmacodynamics. A robust estimator, which processes drug administration and clinical-effect measurements to estimate the plasma- and effect-site drug concentrations, is designed using μ-synthesis theory. Initial proof of principle of the closed-loop estimation is demonstrated using the Monte Carlo simulation of surgical procedures with a wide range of patient models. Closed-loop estimation results in statistically significant reductions in median percentage, median absolute percentage, and maximum absolute percentage drug-concentration errors compared to open-loop prediction.

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