An analytic method to determine the optimal time for the induction phase of anesthesia
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10773/39372 |
Resumo: | We obtain an analytical solution for the time-optimal control problem in the induction phase of anesthesia. Our solution is shown to align numerically with the results obtained from the conventional shooting method. The induction phase of anesthesia relies on a pharmacokinetic/pharmacodynamic (PK/PD) model proposed by Bailey and Haddad in 2005 to regulate the infusion of propofol. In order to evaluate our approach and compare it with existing results in the literature, we examine a minimum-time problem for anesthetizing a patient. By applying the Pontryagin minimum principle, we introduce the shooting method as a means to solve the problem at hand. Additionally, we conducted numerical simulations using the MATLAB computing environment. We solve the time-optimal control problem using our newly proposed analytical method and discover that the optimal continuous infusion rate of the anesthetic and the minimum required time for transition from the awake state to an anesthetized state exhibit similarity between the two methods. However, the advantage of our new analytic method lies in its independence from unknown initial conditions for the adjoint variables. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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An analytic method to determine the optimal time for the induction phase of anesthesiaPharmacokinetic/pharmacodynamic modelOptimal control theoryTime-optimal control of the induction phase of anesthesiaShooting methodAnalytical methodNumerical simulationsWe obtain an analytical solution for the time-optimal control problem in the induction phase of anesthesia. Our solution is shown to align numerically with the results obtained from the conventional shooting method. The induction phase of anesthesia relies on a pharmacokinetic/pharmacodynamic (PK/PD) model proposed by Bailey and Haddad in 2005 to regulate the infusion of propofol. In order to evaluate our approach and compare it with existing results in the literature, we examine a minimum-time problem for anesthetizing a patient. By applying the Pontryagin minimum principle, we introduce the shooting method as a means to solve the problem at hand. Additionally, we conducted numerical simulations using the MATLAB computing environment. We solve the time-optimal control problem using our newly proposed analytical method and discover that the optimal continuous infusion rate of the anesthetic and the minimum required time for transition from the awake state to an anesthetized state exhibit similarity between the two methods. However, the advantage of our new analytic method lies in its independence from unknown initial conditions for the adjoint variables.MDPI2023-09-12T16:18:24Z2023-09-01T00:00:00Z2023-09info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10773/39372eng10.3390/axioms12090867Zaitri, Mohamed A.Silva, Cristiana J.Torres, Delfim F. M.info: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:RCAAP2024-02-22T12:16:58Zoai:ria.ua.pt:10773/39372Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:09:35.982421Repositório 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 |
An analytic method to determine the optimal time for the induction phase of anesthesia |
title |
An analytic method to determine the optimal time for the induction phase of anesthesia |
spellingShingle |
An analytic method to determine the optimal time for the induction phase of anesthesia Zaitri, Mohamed A. Pharmacokinetic/pharmacodynamic model Optimal control theory Time-optimal control of the induction phase of anesthesia Shooting method Analytical method Numerical simulations |
title_short |
An analytic method to determine the optimal time for the induction phase of anesthesia |
title_full |
An analytic method to determine the optimal time for the induction phase of anesthesia |
title_fullStr |
An analytic method to determine the optimal time for the induction phase of anesthesia |
title_full_unstemmed |
An analytic method to determine the optimal time for the induction phase of anesthesia |
title_sort |
An analytic method to determine the optimal time for the induction phase of anesthesia |
author |
Zaitri, Mohamed A. |
author_facet |
Zaitri, Mohamed A. Silva, Cristiana J. Torres, Delfim F. M. |
author_role |
author |
author2 |
Silva, Cristiana J. Torres, Delfim F. M. |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Zaitri, Mohamed A. Silva, Cristiana J. Torres, Delfim F. M. |
dc.subject.por.fl_str_mv |
Pharmacokinetic/pharmacodynamic model Optimal control theory Time-optimal control of the induction phase of anesthesia Shooting method Analytical method Numerical simulations |
topic |
Pharmacokinetic/pharmacodynamic model Optimal control theory Time-optimal control of the induction phase of anesthesia Shooting method Analytical method Numerical simulations |
description |
We obtain an analytical solution for the time-optimal control problem in the induction phase of anesthesia. Our solution is shown to align numerically with the results obtained from the conventional shooting method. The induction phase of anesthesia relies on a pharmacokinetic/pharmacodynamic (PK/PD) model proposed by Bailey and Haddad in 2005 to regulate the infusion of propofol. In order to evaluate our approach and compare it with existing results in the literature, we examine a minimum-time problem for anesthetizing a patient. By applying the Pontryagin minimum principle, we introduce the shooting method as a means to solve the problem at hand. Additionally, we conducted numerical simulations using the MATLAB computing environment. We solve the time-optimal control problem using our newly proposed analytical method and discover that the optimal continuous infusion rate of the anesthetic and the minimum required time for transition from the awake state to an anesthetized state exhibit similarity between the two methods. However, the advantage of our new analytic method lies in its independence from unknown initial conditions for the adjoint variables. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-09-12T16:18:24Z 2023-09-01T00:00:00Z 2023-09 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10773/39372 |
url |
http://hdl.handle.net/10773/39372 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.3390/axioms12090867 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
MDPI |
publisher.none.fl_str_mv |
MDPI |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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 |
repository.mail.fl_str_mv |
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1799137746419187712 |