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dc.contributor.authorValencia, Jose Fernando
dc.contributor.authorMelia, Umberto
dc.contributor.authorVallverdú Ferrer, Montserrat
dc.contributor.authorJospin, Mathieu
dc.contributor.authorJensen, Erik Weber
dc.contributor.authorPorta, Alberto
dc.contributor.authorGambus, Pedro L.
dc.contributor.authorCaminal Magrans, Pere
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2016-07-22T11:57:33Z
dc.date.available2016-07-22T11:57:33Z
dc.date.issued2016-03-18
dc.identifier.citationValencia, J., Melia, U., Vallverdu, M., Jospin, M., Jensen, E.W., Porta, A., Gambus, P., Caminal, P. Assessment of responsiveness levels during sedation-analgesia by entropy analysis of EEG. "Entropy: international and interdisciplinary journal of entropy and information studies", 18 Març 2016, vol. 18, núm. 3.
dc.identifier.issn1099-4300
dc.identifier.urihttp://hdl.handle.net/2117/89087
dc.description.abstractThe level of sedation in patients undergoing medical procedures is decided to assure unconsciousness and prevent pain. The monitors of depth of anesthesia, based on the analysis of the electroencephalogram (EEG), have been progressively introduced into the daily practice to provide additional information about the state of the patient. However, the quantification of analgesia still remains an open problem. The purpose of this work was to analyze the capability of prediction of nociceptive responses based on refined multiscale entropy (RMSE) and auto mutual information function (AMIF) applied to EEG signals recorded in 378 patients scheduled to undergo ultrasonographic endoscopy under sedationanalgesia. Two observed categorical responses after the application of painful stimulation were analyzed: the evaluation of the Ramsay Sedation Scale (RSS) after nail bed compression and the presence of gag reflex (GAG) during endoscopy tube insertion. Also, BIS, heart rate (HR), predicted concentrations of propofol (CeProp) and remifentanil (CeRemi) were annotated with a resolution of 1 second. Results showed that functions based on RMSE, AMIF, HR and CeRemi permitted to predict different stimulation responses during sedation with better than BIS.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Enginyeria biomèdica::Electrònica biomèdica
dc.subject.lcshMedical electronics
dc.titleAssessment of responsiveness levels during sedation-analgesia by entropy analysis of EEG
dc.typeArticle
dc.subject.lemacElectrònica mèdica
dc.identifier.doi10.3390/e18030103
dc.rights.accessOpen Access
local.identifier.drac18770512
dc.description.versionPostprint (author's final draft)
local.citation.authorValencia, J.; Melia, U.; Vallverdu, M.; Jospin, M.; Jensen, E.W.; Porta, A.; Gambus, P.; Caminal, P.
local.citation.publicationNameEntropy: international and interdisciplinary journal of entropy and information studies
local.citation.volume18
local.citation.number3
local.citation.startingPage103


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