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Assessment of the depth of anesthesia based on symbolic dynamics of the EEG

Authors: Tupaika, Nadine; Vallverdú Ferrer, Montserrat; Jospin, Mathieu; Jensen, Erik Weber; Struys, Michel M. R. F.; Vereecke, Hugo E. M.; Voss, Andreas; +1 Authors

Assessment of the depth of anesthesia based on symbolic dynamics of the EEG

Abstract

Methodologies based on symbolic dynamics have successfully demonstrated to reflect the nonlinear behavior of biological signals. In the present study, symbolic dynamics was applied to the electroencephalogram (EEG) in order to describe the level of depth of anesthesia. The EEG was transformed to symbol sequences. Words of three symbols were built from this symbolic series. The results obtained from the EEGs of 36 patients undergoing anesthesia showed that the probabilities of the word types were able to reflect the depth of anesthesia in a similar way to the auditory evoked potential index AAI, a commercial index.

Keywords

Adult, Àrees temàtiques de la UPC::Matemàtiques i estadística, Time Factors, Entropy, :Matemàtiques i estadística [Àrees temàtiques de la UPC], Discriminant Analysis, Electroencephalography, Ergodic theory, Sistemes dinàmics diferenciables, Middle Aged, Teoria ergòdica, Classificació AMS::37 Dynamical systems and ergodic theory, Young Adult, :37 Dynamical systems and ergodic theory [Classificació AMS], :Informàtica [Àrees temàtiques de la UPC], Dynamical systems, Humans, Anesthesia, Female, Àrees temàtiques de la UPC::Informàtica, Propofol

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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