Automation empowers self-sustainable adaptive processes and personalized services in
many industries. The implementation of the integrated healthcare paradigm built on Health …

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 …

Recently, research has been conducted to automatically control anesthesia using machine
learning, with the aim of alleviating the shortage of anesthesiologists. In this study, we …

Fractional calculus has been opening new doors in terms of better modeling and control of
several phenomena and processes. Biomedical engineering has seen a lot of combined …

In this paper, a new method to estimate the states and the parameters of the anesthesia
process is proposed and compared to a Moving Horizon Estimator (MHE) approach. The …

Abstract Background and Objective: New proposals to improve the regulation of hypnosis in
anaesthesia based on the development of advanced control structures emerge …

The Python Anesthesia Simulator (PAS) models the effect of drugs on physiological
variables during total intravenous anesthesia. It is particularly dedicated to the control …

Automated Drug Delivery in Anesthesia provides a full review of available tools and
methods on the drug delivery of anesthesia, bridging the gap between academic …

Anesthetic agent propofol needs to be administered at an appropriate rate to prevent
hypotension and postoperative adverse reactions. To comprehend more suitable anesthetic …

In general intravenous anesthesia, drugs must be given in a proper rate to ensure the safety
of the patient during the surgical operation. Pharmacokinetic-Pharmacodynamic (PK/PD) …