4 research outputs found

    Automated Total IntraVenous Anesthesia (amTIVA) from induction to recovery

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    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 administration, open-loop target controlled infusion (TCI) and closed-loop controlled infusion modes are implemented and available for the control of the two main components of anesthesia: the neuromuscular blockade and the depth of anesthesia. This multi-functional module is implemented in the GALENO Platform and was successfully tested in more than thirty clinical cases

    Robust Control of Maintenance-Phase Anesthesia

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    In biomedical systems, feedback control can be applied whenever adequate sensors, actuators, and sufficiently accurate mathematical models are available. The key issue is the capacity of the control algorithm to tackle the large levels of uncertainty, both structured and unstructured, associated with patient dynamics. In the particular case of intravenous anesthesia considered here, manipulated variables are drug infusion rates, administered by syringe pumps, and the measured signal outputs are the levels of hypnosis or depth of anesthesia (DoA) and of neuromuscular blockade (NMB). Figure 1 provides an example of a loop closed for the control of NMB

    Erratum to Protective intraoperative ventilation with higher versus lower levels of positive end-expiratory pressure in obese patients (PROBESE): study protocol for a randomized controlled trial

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