Optimized PID control of propofol and remifentanil coadministration for general anesthesia
dc.contributor.author | Merigo, L. | |
dc.contributor.author | Padula, Fabrizio | |
dc.contributor.author | Latronico, N. | |
dc.contributor.author | Paltenghi, M. | |
dc.contributor.author | Visioli, A. | |
dc.date.accessioned | 2019-02-19T04:15:23Z | |
dc.date.available | 2019-02-19T04:15:23Z | |
dc.date.created | 2019-02-19T03:58:35Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Merigo, L. and Padula, F. and Latronico, N. and Paltenghi, M. and Visioli, A. 2019. Optimized PID control of propofol and remifentanil coadministration for general anesthesia. Communications in Nonlinear Science and Numerical Simulation. 72: pp. 194-212. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/73977 | |
dc.identifier.doi | 10.1016/j.cnsns.2018.12.015 | |
dc.description.abstract |
© 2018 Elsevier B.V. A closed-loop control system for the control of the depth of hypnosis in anesthesia by using propofol-remifentanil coadministration and the Bispectral Index as feedback signal is proposed. A PID controller is employed together with a fixed ratio between propofol and remifentanil infusions. The ratio allows the anesthesiologist to control the opioid-hypnotic balance during surgery. Optimal tuning rules for the proposed controller are obtained off-line by using the particle swarm optimization method and by considering a given dataset of patients and a wide range of infusion ratios that covers a rich set of scenarios that might occur in clinical practice. Finally, a gain scheduling strategy guarantees the optimality of the performance both for the induction and the maintenance phase. A Monte Carlo approach is used to evaluate the robustness of the method with respect to intra- and inter-patient variability. | |
dc.publisher | Elsevier | |
dc.title | Optimized PID control of propofol and remifentanil coadministration for general anesthesia | |
dc.type | Journal Article | |
dcterms.source.volume | 72 | |
dcterms.source.startPage | 194 | |
dcterms.source.endPage | 212 | |
dcterms.source.issn | 1007-5704 | |
dcterms.source.title | Communications in Nonlinear Science and Numerical Simulation | |
curtin.department | School of Electrical Engineering, Computing and Mathematical Science (EECMS) | |
curtin.accessStatus | Fulltext not available |
Files in this item
Files | Size | Format | View |
---|---|---|---|
There are no files associated with this item. |