Robust Control of Maintenance-Phase Anesthesia

Detalhes bibliográficos
Autor(a) principal: Joao M Lemos
Data de Publicação: 2014
Outros Autores: Daniela V Caiado, Bertinho A Costa, Luis A Paz, Teresa F Mendonca, Rui Rabico, Simao Esteves, Manuel Seabra
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/10216/110110
Resumo: In biomedical systems, feedback control can be applied whenever adequate sensors, actuators, and sufficiently accurate mathematical models are available. The key issue is the capacity of the control algorithm to tackle the large levels of uncertainty, both structured and unstructured, associated with patient dynamics. In the particular case of intravenous anesthesia considered here, manipulated variables are drug infusion rates, administered by syringe pumps, and the measured signal outputs are the levels of hypnosis or depth of anesthesia (DoA) and of neuromuscular blockade (NMB). Figure 1 provides an example of a loop closed for the control of NMB.
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spelling Robust Control of Maintenance-Phase AnesthesiaEngenharia electrotécnica, electrónica e informáticaElectrical engineering, Electronic engineering, Information engineeringIn biomedical systems, feedback control can be applied whenever adequate sensors, actuators, and sufficiently accurate mathematical models are available. The key issue is the capacity of the control algorithm to tackle the large levels of uncertainty, both structured and unstructured, associated with patient dynamics. In the particular case of intravenous anesthesia considered here, manipulated variables are drug infusion rates, administered by syringe pumps, and the measured signal outputs are the levels of hypnosis or depth of anesthesia (DoA) and of neuromuscular blockade (NMB). Figure 1 provides an example of a loop closed for the control of NMB.20142014-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10216/110110eng1066-033X10.1109/mcs.2014.2350564Joao M LemosDaniela V CaiadoBertinho A CostaLuis A PazTeresa F MendoncaRui RabicoSimao EstevesManuel Seabrainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-29T13:52:19Zoai:repositorio-aberto.up.pt:10216/110110Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:49:21.163728Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Robust Control of Maintenance-Phase Anesthesia
title Robust Control of Maintenance-Phase Anesthesia
spellingShingle Robust Control of Maintenance-Phase Anesthesia
Joao M Lemos
Engenharia electrotécnica, electrónica e informática
Electrical engineering, Electronic engineering, Information engineering
title_short Robust Control of Maintenance-Phase Anesthesia
title_full Robust Control of Maintenance-Phase Anesthesia
title_fullStr Robust Control of Maintenance-Phase Anesthesia
title_full_unstemmed Robust Control of Maintenance-Phase Anesthesia
title_sort Robust Control of Maintenance-Phase Anesthesia
author Joao M Lemos
author_facet Joao M Lemos
Daniela V Caiado
Bertinho A Costa
Luis A Paz
Teresa F Mendonca
Rui Rabico
Simao Esteves
Manuel Seabra
author_role author
author2 Daniela V Caiado
Bertinho A Costa
Luis A Paz
Teresa F Mendonca
Rui Rabico
Simao Esteves
Manuel Seabra
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Joao M Lemos
Daniela V Caiado
Bertinho A Costa
Luis A Paz
Teresa F Mendonca
Rui Rabico
Simao Esteves
Manuel Seabra
dc.subject.por.fl_str_mv Engenharia electrotécnica, electrónica e informática
Electrical engineering, Electronic engineering, Information engineering
topic Engenharia electrotécnica, electrónica e informática
Electrical engineering, Electronic engineering, Information engineering
description In biomedical systems, feedback control can be applied whenever adequate sensors, actuators, and sufficiently accurate mathematical models are available. The key issue is the capacity of the control algorithm to tackle the large levels of uncertainty, both structured and unstructured, associated with patient dynamics. In the particular case of intravenous anesthesia considered here, manipulated variables are drug infusion rates, administered by syringe pumps, and the measured signal outputs are the levels of hypnosis or depth of anesthesia (DoA) and of neuromuscular blockade (NMB). Figure 1 provides an example of a loop closed for the control of NMB.
publishDate 2014
dc.date.none.fl_str_mv 2014
2014-01-01T00:00:00Z
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status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/10216/110110
url https://hdl.handle.net/10216/110110
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1066-033X
10.1109/mcs.2014.2350564
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repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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