This paper proposes an adaptive neuro-fuzzy framework to improve drug infusion rate in
closed-loop control of anesthesia. The proposed controller provides a sub-optimal propofol …

The objective of this project is to develop patient dose-response models and to provide an
adequate drug administration regimen for anaesthesia to avoid under-or over-dosing of …

Non-opioid intravenous anesthetic agents, such as propofol, have been used in anesthesia
since 1970's for conscious sedation. In this paper, the study aims to regulate the syringe …

In current practice, to control the anesthetic process, the anesthetist delivers drugs according
to the surgery procedure and to the current patient characteristics and state. This is an open …

In recent times, there has been a convergence and interaction between the age-long
principles of chemical process control (hitherto exclusive to the world of man-made industrial …

Autonomous medical care systems are relatively recent developments in biomedical
research that aim to leverage the vigilance, precision, and processing power of computers to …

This paper presents a comparison between various control strategies for a class of
mechanical actuators common in heavy-duty industry. Typical actuator components are …

This paper presents a semi-adaptive closed-loop control approach to autonomous infusion
of medications exhibiting significant transport delay in clinical effects. The basic idea of the …

It is well documented that linear model predictive control (MPC) techniques are
predominantly used in industrial applications1. Driven by the stringent specifications on …

This study focuses on the individual sedation model identification problem, and proposes a
subspace-based Wiener system identification method. The traditional compartmental …