Literature DB >> 8398515

Pilot study of an expert system adviser for controlling general anaesthesia.

S G Greenhow1, D A Linkens, A J Asbury.   

Abstract

RESAC (real time expert system for advice and control), has been developed to advise on the concentration of inhaled volatile anaesthetics during anaesthesia. It merges clinical information and on-line measurements using Bayesian inference and fuzzy logic. This paper describes a clinical trial in seven patients after initial development of the knowledge base and the human computer interface. Evaluation of the performance of RESAC included analysis of questionnaire responses. Anaesthetists were confident enough to follow the dosage advice given by RESAC in most of the patients.

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Year:  1993        PMID: 8398515     DOI: 10.1093/bja/71.3.359

Source DB:  PubMed          Journal:  Br J Anaesth        ISSN: 0007-0912            Impact factor:   9.166


  3 in total

1.  E-Nose system for anesthetic dose level detection using artificial neural network.

Authors:  Hamdi Melih Saraoğlu; Burçak Edin
Journal:  J Med Syst       Date:  2007-12       Impact factor: 4.460

2.  A fuzzy logic-based decision support system on anesthetic depth control for helping anesthetists in surgeries.

Authors:  Hamdi Melih Saraoğlu; Sibel Sanli
Journal:  J Med Syst       Date:  2007-12       Impact factor: 4.460

3.  A comparison of propofol-to-BIS post-operative intensive care sedation by means of target controlled infusion, Bayesian-based and predictive control methods: an observational, open-label pilot study.

Authors:  M Neckebroek; C M Ionescu; K van Amsterdam; T De Smet; P De Baets; J Decruyenaere; R De Keyser; M M R F Struys
Journal:  J Clin Monit Comput       Date:  2018-10-11       Impact factor: 2.502

  3 in total

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