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Monitoring anesthesia using neural networks: a survey
Claude Robert1, Patrick Karasinski, Charles Daniel Arreto
1Laboratoire d'anatomie fonctionnelle, Université René Descartes, 1, Rue Maurice Arnoux, 92 120 Montrouge, France. claude.robert@odontologie.univ-paris5.fr
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.