Name
Abstract | ||
|---|---|---|
In this paper we propose a model-based scheme to control the depth of hypnosis in anesthesia that uses the BIS signal as controlled variable. In particular, the control scheme exploits the propofol pharmacokinetics/pharmacodynamics model of the patient so that the estimated effect-site concentration is used as a feedback signal for a standard PID controller, which compensates for the model uncertainties. The tuning of the parameters is performed off-line using genetic algorithms to minimize a performance index over a given data set of patients. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.bspc.2018.01.023 | Biomedical Signal Processing and Control |
Keywords | Field | DocType |
AEP,BIS,BIS-NADIR,DoH,EEG,IAE,PID,PD,PK,PSD,ST10,ST20,TCI,TIVA,TT,TV,US | Monte Carlo method,Performance index,PID controller,Overshoot (signal),Anesthesia,Control variable,Genetic algorithm,Mathematics,Induction Phase | Journal |
Volume | ISSN | Citations |
42 | 1746-8094 | 1 |
PageRank | References | Authors |
0.37 | 10 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Luca Merigo | 1 | 8 | 2.97 |
| Fabrizio Padula | 2 | 31 | 11.59 |
| Andrzej Pawlowski | 3 | 64 | 7.22 |
| Sebastián Dormido | 4 | 337 | 55.36 |
| José Luis Guzmán Sánchez | 5 | 1 | 0.37 |
| N. Latronico | 6 | 12 | 2.71 |
| Massimiliano Paltenghi | 7 | 12 | 2.38 |
| Antonio Visioli | 8 | 224 | 40.89 |