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A Mechanistic Neural Field Theory of How Anesthesia Suppresses Consciousness: Synaptic Drive Dynamics, Bifurcations, Attractors, and Partial State Equipartitioning
(
Springer Verlag
, 2015 , Article)
With the advances in biochemistry, molecular biology, and neurochemistry there has been impressive progress in understanding the molecular properties of anesthetic agents. However, there has been little focus on how the ...
Optimal Determination of Respiratory Airflow Patterns for a General Multicompartment Lung Mechanics System with Nonlinear Resistance and Compliance Parameters
(
American Society of Mechanical Engineers (ASME)
, 2015 , Article)
In this paper, we develop a framework for determining optimal respiratory airflow patterns for a multicompartment lung mechanics system with nonlinear resistance and compliance parameters. First, a nonlinear multicompartment ...
Output feedback sliding mode control for a linear multi-compartment lung mechanics system
(
Taylor and Francis Ltd.
, 2014 , Article)
In this paper, we develop a sliding mode control architecture to control lung volume and minute ventilation in the presence of modelling system uncertainties. Since the applied input pressure to the lungs is, in general, ...
A nonovershooting tracking controller for simultaneous infusion of anesthetics and analgesics
(
Elsevier Ltd
, 2019 , Article)
In this paper, a nonovershooting tracking controller is proposed for the continuous infusion of multiple drugs that have interactive effects. The proposed controller design method exploits the freedom of eigenstructure ...
A Neural Field Theory for Loss of Consciousness: Synaptic Drive Dynamics, System Stability, Attractors, Partial Synchronization, and Hopf Bifurcations Characterizing the Anesthetic Cascade
(
Elsevier Inc.
, 2016 , Book chapter)
With the advances in biochemistry, molecular biology, and neurochemistry there has been impressive progress in understanding the molecular properties of anesthetic agents. However, there has been little focus on how the ...
Optimal adaptive control of drug dosing using integral reinforcement learning
(
Elsevier Inc.
, 2019 , Article)
In this paper, a reinforcement learning (RL)-based optimal adaptive control approach is proposed for the continuous infusion of a sedative drug to maintain a required level of sedation. To illustrate the proposed method, ...