Control of neuromuscular blockade in the presence of sensor faults

Author

Lemos, João M. ; Magalhães, Hugo ; Mendonça, Teresa ; Dionisio, Rui

Author_Institution

INESC-ID/IST, Lisboa, Portugal

Volume

52

Issue

11

fYear

2005

Firstpage

1902

Lastpage

1911

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.

Keywords

Bayes methods; biocontrol; feedback; median filters; medical signal processing; muscle; neurophysiology; sensors; surgery; Bayesian inference; feedback control; muscle relaxants; neuromuscular blockade; predictive filter; sensor fault tolerance; Adaptive control; Adaptive systems; Bayesian methods; Fault tolerance; Feedback control; Filters; Inference algorithms; Neurofeedback; Neuromuscular; Programmable control; Bayes inference; hybrid systems; median filter; neuromuscular blockade; outliers; physiological systems; supervisory multiple models control; Algorithms; Computer Simulation; Drug Therapy, Computer-Assisted; Electromyography; Feedback; Humans; Models, Neurological; Motor Neurons; Muscle, Skeletal; Neuromuscular Blockade; Neuromuscular Blocking Agents; Synaptic Transmission;

fLanguage

English

Journal_Title

Biomedical Engineering, IEEE Transactions on

Publisher

ieee

ISSN

0018-9294

Type

jour

DOI

10.1109/TBME.2005.856259

Filename

1519599