Yearb Med Inform 2015; 24(01): 95-101
DOI: 10.15265/IY-2015-004
Original Article
Georg Thieme Verlag KG Stuttgart

Physiological Signal Processing for Individualized Anti-nociception Management During General Anesthesia: a Review

J. De jonckheere
1  INSERM CIC-IT 1403, Maison Régionale de la Recherche Clinique, CHRU de Lille, France
,
V. Bonhomme
2  University Department of Anesthesia and ICM, CHR Citadelle, Liege, Belgium
,
M. Jeanne
1  INSERM CIC-IT 1403, Maison Régionale de la Recherche Clinique, CHRU de Lille, France
3  Department of Anaesthesiology and Intensive Care, Hopitale Roger Salengro, CHRU de Lille, France
,
E. Boselli
4  Department of Anaesthesiology and Intensive Care, Édouard Herriot Hospital, Hospices Civils de Lyon, Lyon, France
,
M. Gruenewald
5  Department of Anaesthesiology and Intensive Care, University Hospital Schleswig Holstein Campus Kiel, Kiel, Germany
,
R. Logier
1  INSERM CIC-IT 1403, Maison Régionale de la Recherche Clinique, CHRU de Lille, France
6  UDSL EA2694, Univeristé Lille Nord de France, Lille, France
,
P. Richebé
7  Department of Anaesthesiology, University of Montreal, Quebec, Canada
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Weitere Informationen

Publikationsverlauf

13. August 2015

Publikationsdatum:
10. März 2018 (online)

Summary

Objective: The aim of this paper is to review existing technologies for the nociception / anti-nociception balance evaluation during surgery under general anesthesia.

Methods: General anesthesia combines the use of analgesic, hypnotic and muscle-relaxant drugs in order to obtain a correct level of patient non-responsiveness during surgery. During the last decade, great efforts have been deployed in order to find adequate ways to measure how anesthetic drugs affect a patient’s response to surgical nociception. Nowadays, though some monitoring devices allow obtaining information about hypnosis and muscle relaxation, no gold standard exists for the nociception / anti-nociception balance evaluation. Articles from the PubMed literature search engine were reviewed. As this paper focused on surgery under general anesthesia, articles about nociception monitoring on conscious patients, in post-anesthesia care unit or in intensive care unit were not considered.

Results: In this article, we present a review of existing technologies for the nociception / anti-nociception balance evaluation, which is based in all cases on the analysis of the autonomous nervous system activity. Presented systems, based on sensors and physiological signals processing algorithms, allow studying the patients’ reaction regarding anesthesia and surgery.

Conclusion: Some technological solutions for nociception / antinociception balance monitoring were described. Though presented devices could constitute efficient solutions for individualized anti-nociception management during general anesthesia, this review of current literature emphasizes the fact that the choice to use one or the other mainly relies on the clinical context and the general purpose of the monitoring.