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Monitoring anesthesia using neural networks: A survey

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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.

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Authors and Affiliations

  1. Laboratoire d'anatomie fonctionnelle, Université René Descartes, 1, Rue Maurice Arnoux, 92 120, Montrouge, France

    Claude Robert, Charles Daniel Arreto & Jean François Gaudy

  2. L.E.R.I.S.S., Université Paris 12 – Val de Marne, 61, Avenue du Général de Gaulle, 94 010, Créteil, Cedex, France

    Patrick Karasinski

  3. Département de Pharmacologie, Université René Descartes, 1, Rue Maurice Arnoux, 92 120, Montrouge, France

    Charles Daniel Arreto

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  1. Claude Robert
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  4. Jean François Gaudy
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Robert, C., Karasinski, P., Arreto, C.D. et al. Monitoring anesthesia using neural networks: A survey. J Clin Monit Comput 17, 259–267 (2002). https://doi.org/10.1023/A:1020783324797

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