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Title:

EEG parameters and their combination as indicators of depth of anaesthesia.

Document type:
Journal Article
Author(s):
Jordan, D; Schneider, G; Hock, A; Hensel, T; Stockmanns, G; Kochs, EF
Abstract:
EEG parameters for assessment of depth of anaesthesia are typically based on different signal processing methods, such as spectral and complexity analysis. In the present study, the parameters investigated (WSMF, qWSMF, approximate entropy and Lempel-Ziv complexity) do not correlate monotonically to depth of anaesthesia. To obtain this correlation, parameters are combined based on fuzzy inference, whereby each parameter only operates in a specific range. Fuzzy inference seems to be a suitable ap...     »
Journal title abbreviation:
Biomed Tech (Berl)
Year:
2006
Journal volume:
51
Journal issue:
2
Pages contribution:
89-94
Language:
eng
Pubmed ID:
http://view.ncbi.nlm.nih.gov/pubmed/16915771
Print-ISSN:
0013-5585
TUM Institution:
Klinik für Anästhesiologie (DHM)
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