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This paper proposes an adaptive approach to improve the performance of Target Controlled Infusion (TCI) based strategies. The method determines an adequate drug dose profile that drives the drug effect on the individual patient to a desired target in a prespecified period of time. It combines an optimal variance constrained drug dose design with a hybrid identification of the individual patient dynamics...
The problem of finding admissible tunings for a PID-controller for automatic neuromuscular blockade drug administration in closed-loop anesthesia is considered. A conventional compartmental pharmacokinetic/pharmacodynamic model with Wiener structure under a PID feedback is analyzed in order to discern the safe intervals of the controller parameters that are free of complex dynamics phenomena. The...
This paper presents a multi-functional automatic control approach for total intravenous anesthesia (TIVA) administration, valid for several drug combinations and able to run autonomously during the three main phases of general anesthesia: induction, maintenance and recovery. While using this standalone TIVA module, named as amTIVA, the anesthesiologist has the crucial role of system supervisor. Bolus...
A self-calibrating total-mass controller for the neuromuscular blockade (NMB) based on the minimally parameterized parsimonious (MPP) Wiener model is presented. Using input-output data collected from the initial bolus administration until recovery, the parameters of the MPP model that are used for the controller design are chosen from a set of fifty realistic models for the effect of the muscle relaxant...
A major obstacle in the design of controllers to regulate the depth of anesthesia (DoA) consists in the high model uncertainty due to inter-patient variability. Surprisingly, the use of control design methods that explicitly tackle this problem is almost absent from the literature on automatic control of anesthesia. In this work, a DoA controller is designed taking into account model uncertainty to...
In the clinical practice the concerns about the administration of hypnotics and analgesics for minimally invasive diagnostics and therapeutic procedures have enormously increased in the past years. The automatic detection of changes in the signals used to evaluate the depth of anesthesia is hence of foremost importance in order to decide how to adapt the doses of hypnotics and analgesics that should...
This paper presents a methodology for parameter estimation of a nonlinear neuromuscular blockade dynamic model to be used as a predictive model for automated control, in general anesthesia. The neuromuscular blockade dynamic model comprises two blocks connected in series, a pharmacokinetic model and the pharmacodynamic model. The pharmacokinetic model is a second order linear dynamic model and describes...
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