Total Mass TCI driven by Parametric Estimation

Detalhes bibliográficos
Autor(a) principal: Margarida M Silva
Data de Publicação: 2009
Outros Autores: Claudia Sousa, Raquel Sebastiao, Joao Gama, Teresa Mendonca, Paula Rocha, Simao Esteves
Tipo de documento: Livro
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://repositorio-aberto.up.pt/handle/10216/71245
Resumo: This paper presents the Total Mass Target Controlled Infusion algorithm. The system comprises an On Line tuned Algorithm for Recovery Detection (OLARD) after an initial bolus administration and a Bayesian identification method for parametric estimation based on sparse measurements of the accessible signal. To design the drug dosage profile, two algorithms are here proposed. During the transient phase, an Input Variance Control (IVC) algorithm is used. It is based on the concept of TCI and aims to steer the drug effect to a predefined target value within an a priori fixed interval of time. After the steady state phase is reached the drug dose regimen is controlled by a Total Mass Control (TMC) algorithm. The mass control law for compartmental systems is robust even in the presence of parameter uncertainties. The whole system feasibility has been evaluated for the case of Neuromuscular Blockade (NMB) level and was tested both in simulation and in real cases.
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spelling Total Mass TCI driven by Parametric EstimationEngenharia electrotécnica, electrónica e informáticaElectrical engineering, Electronic engineering, Information engineeringThis paper presents the Total Mass Target Controlled Infusion algorithm. The system comprises an On Line tuned Algorithm for Recovery Detection (OLARD) after an initial bolus administration and a Bayesian identification method for parametric estimation based on sparse measurements of the accessible signal. To design the drug dosage profile, two algorithms are here proposed. During the transient phase, an Input Variance Control (IVC) algorithm is used. It is based on the concept of TCI and aims to steer the drug effect to a predefined target value within an a priori fixed interval of time. After the steady state phase is reached the drug dose regimen is controlled by a Total Mass Control (TMC) algorithm. The mass control law for compartmental systems is robust even in the presence of parameter uncertainties. The whole system feasibility has been evaluated for the case of Neuromuscular Blockade (NMB) level and was tested both in simulation and in real cases.20092009-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookapplication/pdfhttps://repositorio-aberto.up.pt/handle/10216/71245eng10.1109/med.2009.5164701Margarida M SilvaClaudia SousaRaquel SebastiaoJoao GamaTeresa MendoncaPaula RochaSimao Estevesinfo: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:RCAAP2023-07-26T14:27:32ZPortal AgregadorONG
dc.title.none.fl_str_mv Total Mass TCI driven by Parametric Estimation
title Total Mass TCI driven by Parametric Estimation
spellingShingle Total Mass TCI driven by Parametric Estimation
Margarida M Silva
Engenharia electrotécnica, electrónica e informática
Electrical engineering, Electronic engineering, Information engineering
title_short Total Mass TCI driven by Parametric Estimation
title_full Total Mass TCI driven by Parametric Estimation
title_fullStr Total Mass TCI driven by Parametric Estimation
title_full_unstemmed Total Mass TCI driven by Parametric Estimation
title_sort Total Mass TCI driven by Parametric Estimation
author Margarida M Silva
author_facet Margarida M Silva
Claudia Sousa
Raquel Sebastiao
Joao Gama
Teresa Mendonca
Paula Rocha
Simao Esteves
author_role author
author2 Claudia Sousa
Raquel Sebastiao
Joao Gama
Teresa Mendonca
Paula Rocha
Simao Esteves
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Margarida M Silva
Claudia Sousa
Raquel Sebastiao
Joao Gama
Teresa Mendonca
Paula Rocha
Simao Esteves
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 This paper presents the Total Mass Target Controlled Infusion algorithm. The system comprises an On Line tuned Algorithm for Recovery Detection (OLARD) after an initial bolus administration and a Bayesian identification method for parametric estimation based on sparse measurements of the accessible signal. To design the drug dosage profile, two algorithms are here proposed. During the transient phase, an Input Variance Control (IVC) algorithm is used. It is based on the concept of TCI and aims to steer the drug effect to a predefined target value within an a priori fixed interval of time. After the steady state phase is reached the drug dose regimen is controlled by a Total Mass Control (TMC) algorithm. The mass control law for compartmental systems is robust even in the presence of parameter uncertainties. The whole system feasibility has been evaluated for the case of Neuromuscular Blockade (NMB) level and was tested both in simulation and in real cases.
publishDate 2009
dc.date.none.fl_str_mv 2009
2009-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/book
format book
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://repositorio-aberto.up.pt/handle/10216/71245
url https://repositorio-aberto.up.pt/handle/10216/71245
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1109/med.2009.5164701
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.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)
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repository.mail.fl_str_mv
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