Hight, Darren; Obert, David P; Kratzer, Stephan; Schneider, Gerhard; Sepulveda, Pablo; Sleigh, Jamie; García, Paul S; Kreuzer, Matthias (2023). Permutation entropy is not an age-independent parameter for EEG-based anesthesia monitoring. Frontiers in aging neuroscience, 15(1173304), p. 1173304. Frontiers Research Foundation 10.3389/fnagi.2023.1173304
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BACKGROUND
An optimized anesthesia monitoring using electroencephalographic (EEG) information in the elderly could help to reduce the incidence of postoperative complications. Processed EEG information that is available to the anesthesiologist is affected by the age-induced changes of the raw EEG. While most of these methods indicate a "more awake" patient with age, the permutation entropy (PeEn) has been proposed as an age-independent measure. In this article, we show that PeEn is also influenced by age, independent of parameter settings.
METHODS
We retrospectively analyzed the EEG of more than 300 patients, recorded during steady state anesthesia without stimulation, and calculated the PeEn for different embedding dimensions m that was applied to the EEG filtered to a wide variety of frequency ranges. We constructed linear models to evaluate the relationship between age and PeEn. To compare our results to published studies, we also performed a stepwise dichotomization and used non-parametric tests and effect sizes for pairwise comparisons.
RESULTS
We found a significant influence of age on PeEn for all settings except for narrow band EEG activity. The analysis of the dichotomized data also revealed significant differences between old and young patients for the PeEn settings used in published studies.
CONCLUSION
Based on our findings, we could show the influence of age on PeEn. This result was independent of parameter, sample rate, and filter settings. Hence, age should be taken into consideration when using PeEn to monitor patient EEG.
Item Type: |
Journal Article (Original Article) |
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Division/Institute: |
04 Faculty of Medicine > Department of Intensive Care, Emergency Medicine and Anaesthesiology (DINA) > Clinic and Policlinic for Anaesthesiology and Pain Therapy > Partial clinic Insel 04 Faculty of Medicine > Department of Intensive Care, Emergency Medicine and Anaesthesiology (DINA) > Clinic and Policlinic for Anaesthesiology and Pain Therapy |
UniBE Contributor: |
Hight, Darren Fletcher |
Subjects: |
600 Technology > 610 Medicine & health |
ISSN: |
1663-4365 |
Publisher: |
Frontiers Research Foundation |
Language: |
English |
Submitter: |
Pubmed Import |
Date Deposited: |
04 Jul 2023 12:50 |
Last Modified: |
16 Jul 2023 02:27 |
Publisher DOI: |
10.3389/fnagi.2023.1173304 |
PubMed ID: |
37396663 |
Uncontrolled Keywords: |
EEG age anesthesia hypnosis permutation entropy |
BORIS DOI: |
10.48350/184359 |
URI: |
https://boris.unibe.ch/id/eprint/184359 |
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