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dc.contributor.authorTupaika, Nadine
dc.contributor.authorVallverdú Ferrer, Montserrat
dc.contributor.authorJospin, Mathieu
dc.contributor.authorJensen, Erik Weber
dc.contributor.authorStruys, Michel M. R. F.
dc.contributor.authorVereecke, Hugo E. M.
dc.contributor.authorVoss, Andreas
dc.contributor.authorCaminal Magrans, Pere
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2010-09-30T11:06:19Z
dc.date.available2010-09-30T11:06:19Z
dc.date.created2010
dc.date.issued2010
dc.identifier.citationTupaika, N. [et al.]. Assessment of the depth of anesthesia based on symbolic dynamics of the EEG. A: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. "32th Annual International Conference of the IEEE Engineering in Medicine and Biology Society". Buenos Aires: 2010, p. 5971-5974.
dc.identifier.isbn978-1-4244-4124-2
dc.identifier.urihttp://hdl.handle.net/2117/9202
dc.description.abstractMethodologies 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.
dc.format.extent4 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística
dc.subject.lcshDynamical systems
dc.subject.lcshErgodic theory
dc.titleAssessment of the depth of anesthesia based on symbolic dynamics of the EEG
dc.typeConference lecture
dc.subject.lemacSistemes dinàmics diferenciables
dc.subject.lemacTeoria ergòdica
dc.contributor.groupUniversitat Politècnica de Catalunya. SISBIO - Senyals i Sistemes Biomèdics
dc.subject.amsClassificació AMS::37 Dynamical systems and ergodic theory
dc.rights.accessOpen Access
local.identifier.drac2960547
dc.description.versionPostprint (published version)
local.citation.authorTupaika, N.; Vallverdú, M.; Jospin, M.; Jensen, E.; Struys, M.; Vereecke, H.; Voss, A.; Caminal, P.
local.citation.contributorAnnual International Conference of the IEEE Engineering in Medicine and Biology Society
local.citation.pubplaceBuenos Aires
local.citation.publicationName32th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
local.citation.startingPage5971
local.citation.endingPage5974


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