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Title:

Separation of responsive and unresponsive patients under clinical conditions: comparison of symbolic transfer entropy and permutation entropy.

Document type:
Article; Journal Article; Research Support, Non-U.S. Gov't
Author(s):
Zanner, Robert; Berger, Sebastian; Schröder, Natalie; Kreuzer, Matthias; Schneider, Gerhard
Abstract:
Electroencephalogram (EEG)-based monitoring during general anesthesia may help prevent harmful effects of high or low doses of general anesthetics. There is currently no convincing evidence in this regard for the proprietary algorithms of commercially available monitors. The purpose of this study was to investigate whether a more mechanism-based parameter of EEG analysis (symbolic transfer entropy, STE) can separate responsive from unresponsive patients better than a strictly probabilistic param...     »
Journal title abbreviation:
J Clin Monit Comput
Year:
2024
Journal volume:
38
Journal issue:
1
Pages contribution:
187-196
Fulltext / DOI:
doi:10.1007/s10877-023-01046-w
Pubmed ID:
http://view.ncbi.nlm.nih.gov/pubmed/37436600
Print-ISSN:
1387-1307
TUM Institution:
Klinik für Anästhesiologie (DHM)
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