Control of Neuromuscular Blockade in the Presence of Sensor Faults

Abstract

The problem of embedding sensor fault tolerance in feedback control of neuromuscular blockade is considered. For tackling interruptions of feedback measurements, a structure based upon Bayesian inference as well as a predictive filter is proposed. This algorithm is general and can be applied to different situations. Here, it is incorporated in an adaptive automatic system for feedback control of neuromuscular blockade using continuous infusion of muscle relaxants. A significant contribution consists in the experimental clinical testing of the algorithm in patients undergoing surgery.

Automation of anaesthesia: a review on multivariable control

“…Mason et al [71] employed a three-term median filter to detect artifacts and ''pausing'' the controller during artifacts. Lemos et al [53] proposed a Bayesian inference and predictive filter (a combination of Bayesian decision and a three-point median filter followed by a fifth-order low pass filter) to detect sensor fault and reconstruct signal during the fault.…”

Stability in the Pseudo-state Formalism of Discrete Systems Controlled in the Presence of Intermittent Sensor Faults

“…An example of a supervisor based on Bayesian inference is provided in Lemos et al (2003), and next briefly described.…”

“…In Lemos et al (2005) the artifacts in the neuromuscular ⋆ Corresponding author: Tel. : +351.265790000.…”

Supervised multi-model adaptive control of neuromuscular blockade with off-set compensation

“…This approach is not new [7], [8] (see a tutorial on [9]), but continues to attract attention, both for theoretical extensions [10], [11], [12], [13] and applications [14], [15]. In what concerns neuromuscular blockade control, successful clinical results of the application of variants of SMMAC are reported in [16], [17]. In this respect, a number of issues remain open, including the methodology for finite controller covering, the design of local controllers and the existence of measure offsets.…”