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Predictive adaptive control of the bispectral Index of the EEG (BIS): using the intravenous anaesthetic drug propofol

dc.contributor.authorNunes, Catarina S.
dc.contributor.authorMendonça, Teresa F.
dc.contributor.authorMagalhães, Hugo
dc.contributor.authorLemos, João M.
dc.contributor.authorAmorim, Pedro
dc.date.accessioned2023-05-25T14:02:20Z
dc.date.available2023-05-25T14:02:20Z
dc.date.issued2006
dc.descriptionKES 2006. 10ª Conferência Internacional, realizada em Bournemouth, Reino Unido, de 9-11 de outubro de 2006pt_PT
dc.description.abstractThe problem of controlling the level of unconsciousness measured by the Bispectral Index of the EEG (BIS) of patients under anaesthesia, is considered. It is assumed that the manipulated variable is the infusion rate of the hypnotic drug propofol, while the drug remifentanil is also administered for analgesia. Since these two drugs interact, the administration rate of remifentanil is considered as an accessible disturbance. In order to tackle the high uncertain present on the system, the predictive adaptive controller MUSMAR is used. The performance of the controller is illustrated by means of simulation with 45 patient individual adjusted models, which incorporate the effect of the drugs interaction on BIS. This controller structure proved to be robust to the remifentanil disturbance, different reference values and noise. A reduction of propofol consumption was also observed when comparing to the real clinical dose used for a similar BIS trend.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationNunes, C.S., Mendonça, T.F., Magalhães, H., Lemos, J.M., Amorim, P. (2006). Predictive Adaptive Control of the Bispectral Index of the EEG (BIS) – Using the Intravenous Anaesthetic Drug Propofol. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4252. Springer, Berlin, Heidelberg.pt_PT
dc.identifier.doi10.1007/11893004_158pt_PT
dc.identifier.isbn978-3-540-46537-9
dc.identifier.urihttp://hdl.handle.net/10400.2/13851
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringerpt_PT
dc.relation.publisherversionhttps://link.springer.com/book/10.1007/11893004pt_PT
dc.subjectController gainpt_PT
dc.subjectRecursive little squarept_PT
dc.subjectBispectral indexpt_PT
dc.subjectManipulate variablept_PT
dc.subjectPatient modelpt_PT
dc.titlePredictive adaptive control of the bispectral Index of the EEG (BIS): using the intravenous anaesthetic drug propofolpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/POSC/POSC%2FEEA-SRI%2F57607%2F2004/PT
oaire.citation.endPage1255pt_PT
oaire.citation.startPage1248pt_PT
oaire.citation.titleKnowledge-Based Intelligent Information and Engineering Systemspt_PT
oaire.citation.volume4252pt_PT
oaire.fundingStreamPOSC
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
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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relation.isAuthorOfPublication1ef321dd-4f09-493c-b801-e9a99b28947d
relation.isAuthorOfPublication.latestForDiscoverycc3069ec-f930-455f-9226-b77e5d2dc14b
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relation.isProjectOfPublication.latestForDiscoveryf2a43f85-750a-46d9-96d6-d38d57bd0425

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