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Towards automation in anaesthesia: a review

dc.contributor.authorNunes, Catarina S.
dc.date.accessioned2022-01-20T16:41:20Z
dc.date.available2022-01-20T16:41:20Z
dc.date.issued2014-07-24
dc.descriptionSimpósio Internacional MeMeA, realizado em 2014.pt_PT
dc.description.abstractSurgeries represent a risk for patients and a big cost for the hospital. Anaesthesia represents a complex part of surgery also carries risks for patients. The most known are awareness (with deep psychological consequences); increased risk of morbidity and mortality; adverse reactions and long post-op recovery. The complexity of anaesthesia management can be reduced by studying the patients' responses and developing indicators of the patient state. To assess the level of depth of anaesthesia, the anaesthetist needs to be aware of the patient physiological responses to the drugs and to surgical stimuli. A system that could advise on the patient state considering all clinical signs being measured, the patient individual response and the amount of drugs, will have a big impact on patient overall safety and future health, post-op recovery and hospital resources. This paper does a review of different systems and methods applied to several aspects of the anaesthesia field. All with the goal of working towards automation in this very complex area, that involves high risks for patients. This paper covers advisor systems; signal processing; new monitors and devices; mathematical modelling; and control algorithms; all focused on practical clinical implementation. The objective is to have an overview of the work done so far and the steps taken towards automation in anaesthesia.pt_PT
dc.description.sponsorshipISPA - System Integration and Process Automation Unit - Part of the LAETA (Associated Laboratory of Energy, Transports and Aeronautics) a I&D Unit of the Foundation for Science and Technology (FCT), Portugal. FCT support under project PEst-OE/EME/LA0022/2013.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationC. S. Nunes, "Towards automation in anaesthesia: A review," 2014 IEEE International Symposium on Medical Measurements and Applications (MeMeA). IEEE, 2014, pp. 96-101 https://doi.org/10.1109/MeMeA.2014.6860038pt_PT
dc.identifier.doi10.1109/MeMeA.2014.6860038pt_PT
dc.identifier.isbn978-1-4799-2921-4
dc.identifier.urihttp://hdl.handle.net/10400.2/11661
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherIEEEpt_PT
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/6860038pt_PT
dc.subjectAnaesthesiapt_PT
dc.subjectAutomationpt_PT
dc.subjectSignal processingpt_PT
dc.subjectControlpt_PT
dc.subjectModellingpt_PT
dc.subjectMedical devicespt_PT
dc.titleTowards automation in anaesthesia: a reviewpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PEst-OE%2FEME%2FLA0022%2F2013/PT
oaire.citation.endPage6pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleIEEE International Symposium on Medical Measurements and Applications (MeMeA)pt_PT
oaire.fundingStream3599-PPCDT
person.familyNameNunes
person.givenNameCatarina S.
person.identifier.ciencia-id691F-CDC2-E26A
person.identifier.orcid0000-0002-8357-0994
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.isAuthorOfPublication.latestForDiscoverycc3069ec-f930-455f-9226-b77e5d2dc14b
relation.isProjectOfPublication3200b301-e860-4b14-a4fd-37344cfb2267
relation.isProjectOfPublication.latestForDiscovery3200b301-e860-4b14-a4fd-37344cfb2267

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