A Cascade Feedback Control Approach for Hypnosis

Puebla, Héctor; Alvarez-Ramı́rez, José

doi:10.1007/s10439-005-6490-4

Cited by 13 publications

(13 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This compromise explains the existence of a multitude of control schemes and corresponding tuning procedures that have been evaluated for drug delivery in anesthesia. These schemes have included internal model control (IMC) [11], modeling error compensation (MEC) [12], model predictive control (MPC) [13], neural-fuzzy control [14], proportional integral derivative control (PID) [15] and robust control [15,16]. An intensive list of previous work on closed-loop control of anesthesia can be found in a historic review [17] and more recently in [18] as well as in [3].…”

Section: Introductionmentioning

confidence: 99%

Individualized closed-loop control of propofol anesthesia: A preliminary study

Soltesz

Hahn

Hägglund

et al. 2013

Biomedical Signal Processing and Control

View full text Add to dashboard Cite

This paper proposes an individualized approach to closed-loop control of depth of hypnosis during propofol anesthesia. The novelty of the paper lies in the individualization of the controller at the end of the induction phase of anesthesia, based on a patient model identified from the dose-response relationship during induction of anesthesia. The proposed approach is shown to be superior to administration of propofol based on population-based infusion schemes tailored to individual patients. This approach has the potential to outperform fully adaptive approaches in regards to controller robustness against measurement variability due to surgical stimulation. To streamline controller synthesis, two output filters were introduced (inverting the Hill dose-response model and the linear time-invariant sensor model), which yield a close-to-linear representation of the system dynamics when used with a compartmental patient model. These filters are especially useful during the induction phase of anesthesia in which a nonlinear dose-response relationship complicates the design of an appropriate controller. The proposed approach was evaluated in simulation on pharmacokinetic and pharmacodynamic models of 44 patients identified from real clinical data. A model of the NeuroSense, a hypnotic depth monitor based on wavelet analysis of EEG,was also included. This monitor is similar to the well-known BIS,but has linear time-invariant dynamics and does not introduce a delay. The proposed scheme was compared with a population-based controller, i.e. a controller only utilizing models based on demographic covariates for its tuning. On average, the proposed approach offered 25% improvement in disturbance attenuation, measured as the integrated absolute error following a step disturbance. The corresponding standard deviation from the reference was also decreased by 25%.Results are discussed and possible directions of future work are proposed.

show abstract

Section: Introductionmentioning

confidence: 99%

Individualized closed-loop control of propofol anesthesia: A preliminary study

Soltesz

Hahn

Hägglund

et al. 2013

Biomedical Signal Processing and Control

View full text Add to dashboard Cite

show abstract

“…Gentilini et al (2002) used a PK-PD model as a part of their controller to control MAP by controlling analgesics. Puebla (2005) used a model (Gentilini et al, 2001) to design a cascade controller to control end-tidal anesthetic agent concentration in response to BIS sensor.…”

Section: Closed-loop Systems For Anesthetic Deliverymentioning

confidence: 99%

Credibility Evidence for Computational Patient Models Used in the Development of Physiological Closed-Loop Controlled Devices for Critical Care Medicine

et al. 2019

View full text Add to dashboard Cite

Physiological closed-loop controlled medical devices automatically adjust therapy delivered to a patient to adjust a measured physiological variable. In critical care scenarios, these types of devices could automate, for example, fluid resuscitation, drug delivery, mechanical ventilation, and/or anesthesia and sedation. Evidence from simulations using computational models of physiological systems can play a crucial role in the development of physiological closed-loop controlled devices; but the utility of this evidence will depend on the credibility of the computational model used. Computational models of physiological systems can be complex with numerous nonlinearities, time-varying properties, and unknown parameters, which leads to challenges in model assessment. Given the wide range of potential uses of computational patient models in the design and evaluation of physiological closed-loop controlled systems, and the varying risks associated with the diverse uses, the specific model as well as the necessary evidence to make a model credible for a use case may vary. In this review, we examine the various uses of computational patient models in the design and evaluation of critical care physiological closed-loop controlled systems (e.g., hemodynamic stability, mechanical ventilation, anesthetic delivery) as well as the types of evidence (e.g., verification, validation, and uncertainty quantification activities) presented to support the model for that use. We then examine and discuss how a credibility assessment framework (American Society of Mechanical Engineers Verification and Validation Subcommittee, V&V 40 Verification and Validation in Computational Modeling of Medical Devices) for medical devices can be applied to computational patient models used to test physiological closed-loop controlled systems.

show abstract

“…Robust control design based on MEC ideas is a control technique that has been applied to many complex systems. ,− (for instance, batch and CSTR reactors, , distillation columns, biochemical systems, , and mechanical oscillators).…”

Section: Robust Linear Output Feedback Control Designmentioning

confidence: 99%

“…Some observations on the nature of the controlled systems are given as follows. ,− Lumped control approaches: In control systems involving DPS, an important question is whether the control and measurements are distributed, or concentrated, on the spatial domain. In many practical systems, only inlet and exit conditions of the spatial domain or selected points in the interior are accessible for measurement and control.…”

Section: Robust Linear Output Feedback Control Designmentioning

confidence: 99%

A Simple Feedback Control Approach for Output Modulation of Spatiotemporal Patterns in a Class of Tubular Reactors

Puebla

Hernández‐Martínez

Hernández-Suárez

et al. 2013

Ind. Eng. Chem. Res.

Self Cite

View full text Add to dashboard Cite

Tubular chemical reactors can support spatiotemporal patterns. Pattern modulation in reactive systems may be of major importance for adequate operation of some industrial applications. In this work, we introduce a robust control approach for the output regulation and tracking of spatiotemporal patterns in a class of tubular reactors at a desired position. The control design includes a state estimator of lumped uncertain terms, which is coupled with an inverse model-based feedback control that assigns a desired output closed-loop behavior. The result is an efficient controller that is robust against feed disturbances while introducing good output regulation and tracking properties. The controller is implemented via numerical simulations in three benchmark tubular reactors displaying spatiotemporal patterns: (i) spatiotemporal periodic oscillation in a tubular reactor with axial dispersion, (ii) chaotic spatiotemporal patterns in a tubular reactor with recycle, and (iii) spatiotemporal periodic oscillations in the Belousov−Zhabotinseky reaction−diffusion system.

show abstract

A Cascade Feedback Control Approach for Hypnosis

Cited by 13 publications

References 11 publications

Individualized closed-loop control of propofol anesthesia: A preliminary study

Individualized closed-loop control of propofol anesthesia: A preliminary study

Credibility Evidence for Computational Patient Models Used in the Development of Physiological Closed-Loop Controlled Devices for Critical Care Medicine

A Simple Feedback Control Approach for Output Modulation of Spatiotemporal Patterns in a Class of Tubular Reactors

Contact Info

Product

Resources

About