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Neuro-fuzzy models to predict the required propofol amount for loss of consciousness during general anesthesia: a preliminary study

2018Conference object Restricted access
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dc.contributor.authorFerreira, Ana Isabel Leitão
dc.contributor.authorMendes, Joaquim
dc.contributor.authorAmorim, Pedro
dc.contributor.authorNunes, Catarina S.
dc.date.accessioned2021-05-13T12:46:55Z
dc.date.available2021-05-13T12:46:55Z
dc.date.issued2018
dc.description.abstractThis study presents several models to predict the total amount of the anesthetic drug propofol required to achieve loss of consciousness during the induction phase of anesthesia, considering different clinical variables. The data from 49 patients under anesthesia for neurosurgical procedures, were used in this study. Takagi-Sugeno-Kang (TSK) fuzzy models were used to describe the effect of clinical variables on the amount of propofol required for loss of consciousness. The parameters of the TSK models were optimized using an Adaptive Network-Fuzzy Interference System. All models were trained with the data of 35 patients and tested with the data of 14 patients. These models proved to have reasonable prediction properties. The fuzzy model with the best balanced performance used only two inputs: the systolic arterial pressure and the Bispectral Index of the EEG.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationA. L. Ferreira, J. Mendes, P. Amorim and C. S. Nunes, "Neuro-fuzzy models to predict the required propofol amount for loss of consciousness during general anesthesia: a preliminary study," 2018 IEEE International Symposium on Medical Measurements and Applications (MeMeA), Rome, 2018, pp. 1-5. (ISBN: 978-1-5386-3392-2)pt_PT
dc.identifier.doi10.1109/MeMeA.2018.8438628pt_PT
dc.identifier.isbn978-1-5386-3393-9 (Print)
dc.identifier.isbn978-1-5386-3392-2 (Online)
dc.identifier.urihttp://hdl.handle.net/10400.2/10736
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherIEEEpt_PT
dc.subjectPersonalized anesthesiapt_PT
dc.subjectLoss of consciousnesspt_PT
dc.subjectFuzzy logicpt_PT
dc.subjectANFISpt_PT
dc.titleNeuro-fuzzy models to predict the required propofol amount for loss of consciousness during general anesthesia: a preliminary studypt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceRome, 2018pt_PT
oaire.citation.endPage5pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.title2018 IEEE International Symposium on Medical Measurements and Applications (MeMeA)pt_PT
person.familyNameFerreira
person.familyNameMendes
person.familyNameAmorim
person.familyNameDa Costa Nunes Duarte
person.givenNameAna
person.givenNameJoaquim
person.givenNamePedro
person.givenNameCatarina Sofia
person.identifierR-000-7HY
person.identifier.ciencia-id791E-88E5-5BD7
person.identifier.ciencia-id301B-ED0C-A4FE
person.identifier.ciencia-id691F-CDC2-E26A
person.identifier.orcid0000-0003-2350-6947
person.identifier.orcid0000-0003-4254-1879
person.identifier.orcid0000-0001-7466-4174
person.identifier.orcid0000-0002-8357-0994
person.identifier.ridH-8140-2014
person.identifier.ridO-5655-2016
person.identifier.scopus-author-id57204246003
person.identifier.scopus-author-id35931916900
person.identifier.scopus-author-id55429654100
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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