Physiological closed-loop control (PCLC) systems: Review of a modern frontier in automation
Over the past decade, there has been an unprecedented international focus on improved
quality and availability of medical care, which has reignited interest in clinical automation …
quality and availability of medical care, which has reignited interest in clinical automation …
Optimized PID control of depth of hypnosis in anesthesia
Abstract Background and Objective: This paper addresses the use of proportional-integral-
derivative controllers for regulating the depth of hypnosis in anesthesia by using propofol …
derivative controllers for regulating the depth of hypnosis in anesthesia by using propofol …
Enhancing wound healing through deep reinforcement learning for optimal therapeutics
Finding the optimal treatment strategy to accelerate wound healing is of utmost importance,
but it presents a formidable challenge owing to the intrinsic nonlinear nature of the process …
but it presents a formidable challenge owing to the intrinsic nonlinear nature of the process …
[HTML][HTML] Continuous action deep reinforcement learning for propofol dosing during general anesthesia
Purpose Anesthesiologists simultaneously manage several aspects of patient care during
general anesthesia. Automating administration of hypnotic agents could enable more …
general anesthesia. Automating administration of hypnotic agents could enable more …
Closed-loop control of anesthesia and mean arterial pressure using reinforcement learning
General anesthesia is required for some patients in the intensive care units (ICUs) with
acute respiratory distress syndrome. Critically ill patients who are assisted by mechanical …
acute respiratory distress syndrome. Critically ill patients who are assisted by mechanical …
Individualized closed-loop control of propofol anesthesia: a preliminary study
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 …
during propofol anesthesia. The novelty of the paper lies in the individualization of the …
Linear MPC for anesthesia process with external predictor
In this paper we present a new model predictive control system for the depth of hypnosis in
general anesthesia. The depth of hypnosis is measured by the Bispectral Index Scale signal …
general anesthesia. The depth of hypnosis is measured by the Bispectral Index Scale signal …
[HTML][HTML] Data-driven identification and comparison of full multivariable models for propofol–remifentanil induced general anesthesia
In this paper, we present results with clinical data to enable a 2x2 input–output multivariable
patient model for hypnosis and analgesia. Nonlinear multi-drug interaction models are …
patient model for hypnosis and analgesia. Nonlinear multi-drug interaction models are …
Event-based control of depth of hypnosis in anesthesia
Abstract Background and Objective: In this paper, we propose the use of an event-based
control strategy for the closed-loop control of the depth of hypnosis in anesthesia by using …
control strategy for the closed-loop control of the depth of hypnosis in anesthesia by using …
Optimal adaptive control of drug dosing using integral reinforcement learning
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 …
proposed for the continuous infusion of a sedative drug to maintain a required level of …