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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.
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
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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