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- W2801667744 abstract "This article reviews the various modeling techniques for neuromonitoring depth of anesthesia (DOA). Traditional techniques such as parametric, predictive, optimal, and adaptive modeling; proportional, integral, derivative (PID) modeling; together with modern techniques such as bispectral-based, artificial neural-network-based, fuzzy logic, and neuro-fuzzy modeling, bring us to the current state of the art in DOA neuromonitoring. This article reviews historical information about each of the modern techniques and provides an example demonstrating its implementation; reviews drug pharmacokinetic/pharmacodynamic (PK/PD) and drug interaction PK/PD modeling techniques for a balanced total intravenous anesthesia (TIVA) administration; and discusses the existing technical problems and clinical challenges, suggesting new techniques necessary for the future development of a DOA monitoring and control system." @default.
- W2801667744 created "2018-05-17" @default.
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- W2801667744 date "2017-01-01" @default.
- W2801667744 modified "2023-09-24" @default.
- W2801667744 title "Reviews of Modeling Techniques for Neuromonitoring Depth of Anesthesia" @default.
- W2801667744 doi "https://doi.org/10.1615/critrevbiomedeng.v45.i1-6.110" @default.
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