Publication
Modelling and multivariable control in anaesthesia using neural-fuzzy paradigms
| dc.contributor.author | Mahfouf, Mahdi | |
| dc.contributor.author | Nunes, Catarina S. | |
| dc.contributor.author | Linkens, Derek A. | |
| dc.contributor.author | Peacock, John E. | |
| dc.date.accessioned | 2023-05-29T08:53:11Z | |
| dc.date.available | 2023-05-29T08:53:11Z | |
| dc.date.issued | 2005 | |
| dc.description.abstract | 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. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | Mahfouf, M., C.S. Nunes, D. Linkens, and J. Peacock (2005) "Modelling and multivariable control in anaesthesia using neural-fuzzy paradigms: Part II- closed-loop control of simultaneous administration of propofol and remifentanil," Artificial Intelligence in Medicine, 35(3): 207-213. | pt_PT |
| dc.identifier.doi | 10.1016/j.artmed.2004.12.005 | pt_PT |
| dc.identifier.issn | 1873-2860 | |
| dc.identifier.uri | http://hdl.handle.net/10400.2/13873 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | Elsevier | pt_PT |
| dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0933365705000497 | pt_PT |
| dc.subject | Patient model | pt_PT |
| dc.subject | Anaesthesia | pt_PT |
| dc.subject | Analgesia | pt_PT |
| dc.subject | Fuzzy logic | pt_PT |
| dc.subject | Feedback control | pt_PT |
| dc.subject | Multivariable | pt_PT |
| dc.title | Modelling and multivariable control in anaesthesia using neural-fuzzy paradigms | pt_PT |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.citation.endPage | 213 | pt_PT |
| oaire.citation.issue | 3 | pt_PT |
| oaire.citation.startPage | 207 | pt_PT |
| oaire.citation.title | Artificial Intelligence in Medicine | pt_PT |
| oaire.citation.volume | 35 | pt_PT |
| person.familyName | Da Costa Nunes Duarte | |
| person.givenName | Catarina Sofia | |
| person.identifier.ciencia-id | 691F-CDC2-E26A | |
| person.identifier.orcid | 0000-0002-8357-0994 | |
| rcaap.rights | restrictedAccess | pt_PT |
| rcaap.type | article | pt_PT |
| relation.isAuthorOfPublication | cc3069ec-f930-455f-9226-b77e5d2dc14b | |
| relation.isAuthorOfPublication.latestForDiscovery | cc3069ec-f930-455f-9226-b77e5d2dc14b |