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ARX modeling of drug effects on brain signals during general anesthesia

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dc.contributor.authorNunes, Catarina S.
dc.contributor.authorLobo, Francisco A.
dc.contributor.authorAmorim, Pedro
dc.date.accessioned2023-05-29T09:07:42Z
dc.date.available2023-05-29T09:07:42Z
dc.date.issued2013
dc.description.abstractThe effect of drugs’ interaction on the brain signal Bispectral Index (BIS) of the EEG, is of great importance for an anesthesia control drug infusion system. In this study, the objective was to investigate if an autoregressive with exogenous inputs model (ARX) could be a suitable approach to predicting BIS according to the anesthetic drugs concentrations. Data were collected in 45 neurosurgeries with total intravenous anesthesia every 5s. A stochastic ARX model was fitted to the data of each patient. The models structure that performed better as predictor used a 30s lag for BIS, 1min lag for propofol and 2min lag for remifentanil. The models had a good performance with statistical zero errors (P < 0.05) in 31 patients. The average of absolute errors was 8.2 ± 2.5, showing that the model captures the brain signal trend. This model proved to be effective in modeling and one step prediction of the BIS signal capturing unique characteristics. The results show that the previous brain response trend has influence on the present value, in addition the drugs concentrations from the previous 2min still have influence. This is an important conclusion for the development of drug infusion controller algorithms.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationC. S. Nunes, F. A. Lobo, P. Amorim, S. de Anestesiologia and C. H. do Porto, "ARX modeling of drug effects on brain signals during general anesthesia," 21st Mediterranean Conference on Control and Automation, Platanias, Greece, 2013, pp. 202-205pt_PT
dc.identifier.doi10.1109/MED.2013.6608722pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.2/13874
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherIEEEpt_PT
dc.titleARX modeling of drug effects on brain signals during general anesthesiapt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlacePlatanias, Greecept_PT
oaire.citation.endPage205pt_PT
oaire.citation.startPage202pt_PT
oaire.citation.title21st Mediterranean Conference on Control and Automationpt_PT
person.familyNameNunes
person.familyNameAmorim
person.givenNameCatarina S.
person.givenNamePedro
person.identifier.ciencia-id691F-CDC2-E26A
person.identifier.orcid0000-0002-8357-0994
person.identifier.orcid0000-0001-7466-4174
person.identifier.scopus-author-id55429654100
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicationcc3069ec-f930-455f-9226-b77e5d2dc14b
relation.isAuthorOfPublication1ef321dd-4f09-493c-b801-e9a99b28947d
relation.isAuthorOfPublication.latestForDiscoverycc3069ec-f930-455f-9226-b77e5d2dc14b

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