This paper presents a real-time algorithm for changes detection in depth of anesthesia
signals. A Page–Hinkley test (PHT) with a forgetting mechanism (PHT-FM) was developed …

This paper presents a nonlinear adaptive control strategy based on the Wiener model for
control of the Neuro-Muscular Blockade in anesthesia. The structure combines the inversion …

An adaptive controller based on a minimally parameterized parsimonious Wiener model for
the effect of the muscle relaxant rocuronium in the neuromuscular blockade is presented …

This paper presents a model based switching control strategy to drive the neuromuscular
blockade (NMB) level of patients undergoing general anesthesia to a predefined reference …

This article presents a real‐time software platform (the GALENO platform) that was designed
to support the development of algorithms to automate anesthesia procedures. Automation of …

In this paper a new simplified control scheme for the neuromuscular blockade level that only
requires the knowledge of one model parameter is proposed. The control law is designed to …

The contribution of this paper is to present and compare two state-feedback design methods
for the automatic control of the Neuromuscular Blockade Level (NMB) based on optimal …

This paper presents a control strategy for exact reference tracking in the presence of
parameter uncertainty for the NeuroMuscular Blockade (NMB) level of patients undergoing …

This paper presents a compartmental model-based control strategy to drive the
NeuroMuscular Blockade level of patients undergoing general anesthesia to a predefined …

In the clinical practice the concerns about the administration of hypnotics and analgesics for
minimally invasive diagnostics and therapeutic procedures have enormously increased in …