Body-conformal sensors and tissue-interfacing robotic therapeutics enable the real-time
monitoring and treatment of diabetes, wound healing, and other critical conditions. By …

The reliable and effective automation of biomedical therapies is the need of the hour for
medical professionals. A model predictive controller (MPC) has the ability to handle complex …

Construction is dangerous, making safety management essential. Robotics process
automation (RPA) can improve construction project risk management. RPA is hindered by …

In this paper, a model predictive control system for the depth of hypnosis is proposed and
analyzed. This approach considers simultaneous co-administration of the hypnotic and …

In this paper we propose a methodology for a patient-individualized tuning of the parameters
of a proportional–integral–derivative (PID) controller that regulates the depth of hypnosis in …

Abstract Background and Objective: Many methodologies have been proposed for the
control of total intravenous anesthesia in general surgery, as this yields a reduced stress for …

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, 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 …

This paper presents the first experimental results obtained with an event-based PID
regulator for closed-loop control of general anesthesia. The control system exploits the …

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 …