Modelling and multivariable control in anaesthesia using neural-fuzzy paradigms

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.creatorMahfouf, Mahdi-
Autor(es): dc.creatorNunes, Catarina S.-
Autor(es): dc.creatorLinkens, Derek A.-
Autor(es): dc.creatorPeacock, John E.-
Data de aceite: dc.date.accessioned2025-08-21T15:09:40Z-
Data de disponibilização: dc.date.available2025-08-21T15:09:40Z-
Data de envio: dc.date.issued2023-05-29-
Data de envio: dc.date.issued2023-05-29-
Data de envio: dc.date.issued2005-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/10400.2/13873-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/10400.2/13873-
Descrição: dc.descriptionObjective: Part II of this research study is concerned with the development of a closed-loop simulation linking the patient model as well as the fuzzy relational classifier already introduced in Part I with a control algorithm. The overall architecture is in fact a system advisor, which provides information to the anaesthetist about the adequate infusion-rates of propofol and remifentanil simultaneously. Methods and material: The developed fuzzy multivariable controller includes three rule-bases and takes into account the synergetic interactions between the above drugs and uses such knowledge to achieve rapidly the desired depth of anaesthesia (DOA) level. Results: The result of the study is a closed-loop control scheme, which adjusts efficiently the infusion-rates of two drugs in response to DOA changes. This controller can either be used in an advisory mode or closed-loop feedback mode in the operating theatre during surgery. Conclusion: It is hoped that this control scheme coupled with the patient model presented in Part I of this study will be used routinely in the operating theatre in the very near future.-
Descrição: dc.descriptioninfo:eu-repo/semantics/publishedVersion-
Formato: dc.formatapplication/pdf-
Idioma: dc.languageen-
Publicador: dc.publisherElsevier-
Relação: dc.relationhttps://www.sciencedirect.com/science/article/pii/S0933365705000497-
Palavras-chave: dc.subjectPatient model-
Palavras-chave: dc.subjectAnaesthesia-
Palavras-chave: dc.subjectAnalgesia-
Palavras-chave: dc.subjectFuzzy logic-
Palavras-chave: dc.subjectFeedback control-
Palavras-chave: dc.subjectMultivariable-
Título: dc.titleModelling and multivariable control in anaesthesia using neural-fuzzy paradigms-
Aparece nas coleções:Repositório Aberto - Universidade Aberta (Portugal)

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