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Modelling and multivariable control in anaesthesia using neural-fuzzy paradigms

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Resumo:Objective: 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.
Autores principais:Mahfouf, Mahdi
Outros Autores:Nunes, Catarina S.; Linkens, Derek A.; Peacock, John E.
Assunto:Patient model Anaesthesia Analgesia Fuzzy logic Feedback control Multivariable
Ano:2005
País:Portugal
Tipo de documento:artigo
Tipo de acesso:acesso restrito
Instituição associada:Universidade Aberta
Idioma:inglês
Origem:Repositório Aberto da Universidade Aberta

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