title: Monitoring anesthesia using neural networks: a survey.
abstract: New methods of data processing combined with advances in computer technology have revolutionized monitoring of patients under anesthesia. The development of systems based on analysis of brain electrical activity (EEG or evoked potentials) by neural networks has provided impetus to many investigators. Though not claiming to be the end-all in patient monitoring, the potential and efficiency of the combination does indeed stand out. Various strategies are presented and discussed, as well as suggestions for further investigation.
authors.affiliation: Laboratoire d'anatomie fonctionnelle, Université René Descartes, 1, Rue Maurice Arnoux, 92 120 Montrouge, France. claude.robert@odontologie.univ-paris5.fr
authors.forename: Claude
authors.initials: C
authors.lastname: Robert
authors.forename: Patrick
authors.initials: P
authors.lastname: Karasinski
authors.forename: Charles Daniel
authors.initials: CD
authors.lastname: Arreto
authors.forename: Jean François
authors.initials: JF
authors.lastname: Gaudy
mesh_terms: D000758:Anesthesia; D004569:Electroencephalography; D005071:Evoked Potentials; D006801:Humans; D008991:Monitoring, Physiologic; D016571:Neural Networks, Computer