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Assessment of the depth of anesthesia based on symbolic dynamics of the EEG
Tupaika, Nadine; Vallverdú Ferrer, Montserrat; Jospin, Mathieu; Jensen, Erik W.; Struys, Michel M. R. F.; Vereecke, Hugo E. M.; Voss, Andreas; Caminal Magrans, Pere
Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
Methodologies based on symbolic dynamics havesuccessfully demonstrated to reflect the nonlinear behavior of biological signals. In the present study, symbolic dynamics wasapplied to the electroencephalogram (EEG) in order to describe the level of depth of anesthesia. The EEG was transformed tosymbol sequences. Words of three symbols were built from this symbolic series. The results obtained from the EEGs of 36patients undergoing anesthesia showed that the probabilities of the word types were able to reflect the depth of anesthesia in asimilar way to the auditory evoked potential index AAI, a commercial index.
2012-05-10
Àrees temàtiques de la UPC::Informàtica
Àrees temàtiques de la UPC::Matemàtiques i estadística
Dynamical systems
Ergodic theory
Sistemes dinàmics diferenciables
Teoria ergòdica
Classificació AMS::37 Dynamical systems and ergodic theory
Open Access
Conference Object
         

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