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Title:

An in-depth analysis of parameter settings and probability distributions of specific ordinal patterns in the Shannon permutation entropy during different states of consciousness in humans.

Document type:
Journal Article
Author(s):
Franka, Michelle; Edthofer, Alexander; Körner, Andreas; Widmann, Sandra; Fenzl, Thomas; Schneider, Gerhard; Kreuzer, Matthias
Abstract:
As electrical activity in the brain has complex and dynamic properties, the complexity measure permutation entropy (PeEn) has proven itself to reliably distinguish consciousness states recorded by the EEG. However, it has been shown that the focus on specific ordinal patterns instead of all of them produced similar results. Moreover, parameter settings influence the resulting PeEn value. We evaluated the impact of the embedding dimension m and the length of the EEG segment on the resulting PeEn....     »
Journal title abbreviation:
J Clin Monit Comput
Year:
2024
Journal volume:
38
Journal issue:
2
Pages contribution:
385-397
Fulltext / DOI:
doi:10.1007/s10877-023-01051-z
Pubmed ID:
http://view.ncbi.nlm.nih.gov/pubmed/37515662
Print-ISSN:
1387-1307
TUM Institution:
Klinik für Anästhesiologie (DHM)
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