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- 저자 : Pragna Vachhrajani (검색결과 1 건)
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Adaptive smith predictor controller for total intravenous anesthesia automation
Bhavina Patel,Hiren Patel,Pragna Vachhrajani,Divyang Shah,Alpesh Sarvaia 대한의용생체공학회 2019 Biomedical Engineering Letters (BMEL) Vol.9 No.1
Anesthetic agent propofol needs to be administered at an appropriate rate to prevent hypotension and postoperative adversereactions. To comprehend more suitable anesthetic drug rate during surgery is a crucial aspect. The main objective of thisproposal is to design robust automated control system that work effi ciently in most of the patients with smooth BIS andminimum variations of propofol during surgery to avoid adverse post reactions and instability of anesthetic parameters. And also, to design advanced computer control system that improves the health of patient with short recovery time and lessclinical expenditures. Unlike existing research work, this system administrates propofol as a hypnotic drug to regulate BIS,with fast bolus infusion in induction phase and slow continuous infusion in maintenance phase of anesthesia. The novelty ofthe paper lies in possibility to simplify the drug sensitivity-based adaption with infusion delay approach to achieve closedloopcontrol of hypnosis during surgery. Proposed work uses a brain concentration as a feedback signal in place of the BISsignal. Regression model based estimated sensitivity parameters are used for adaption to avoid BIS signal based frequentadaption procedure and large off set error. Adaptive smith predictor with lead–lag fi lter approach is applied on 22 diff erentpatients’ model identifi ed by actual clinical data. The actual BIS and propofol infusion signals recorded during clinical trialswere used to estimate patient’s sensitivity parameters EC 50 and λ . Simulation results indicate that patient’s drug sensitivityparameters based adaptive strategy facilitates optimal controller performance in most of the patients. Results are obtainedwith proposed scheme having less settling time, BIS oscillations and small off set error leads to adequate depth of anesthesia. A comparison with manual control mode and previously reported system shows that proposed system achieves reductionin the total variations of the propofol dose. Proposed adaptive scheme provides better performance with less oscillation inspite of computation delay, surgical stimulations and patient variability. Proposed scheme also provides improvement inrobustness and may be suitable for clinical practices.
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