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Document type:
Article; Journal Article; Research Support, Non-U.S. Gov't
Author(s):
Fleischmann, Antonia; Georgii, Marie-Therese; Schuessler, Jule; Schneider, Gerhard; Pilge, Stefanie; Kreuzer, Matthias
Title:
Always Assess the Raw Electroencephalogram: Why Automated Burst Suppression Detection May Not Detect All Episodes.
Abstract:
BACKGROUND: Electroencephalogram (EEG)-based monitors of anesthesia are used to assess patients' level of sedation and hypnosis as well as to detect burst suppression during surgery. One of these monitors, the Entropy module, uses an algorithm to calculate the burst suppression ratio (BSR) that reflects the percentage of suppressed EEG. Automated burst suppression detection monitors may not reliably detect this EEG pattern. Hence, we evaluated the detection accuracy of BSR and investigated the E...     »
Journal title abbreviation:
Anesth Analg
Year:
2023
Journal volume:
136
Journal issue:
2
Pages contribution:
346-354
Fulltext / DOI:
doi:10.1213/ANE.0000000000006098
Pubmed ID:
http://view.ncbi.nlm.nih.gov/pubmed/35653440
Print-ISSN:
0003-2999
TUM Institution:
Klinik für Anästhesiologie (DHM)
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