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Control Law Design for Propofol Infusion to Regulate Depth of Hypnosis: A Nonlinear Control Strategy.

Khaqan A, Bilal M, Ilyas M, Ijaz B, Ali Riaz R - Comput Math Methods Med (2016)

Bottom Line: In contrast to most of the investigations with linear control strategies, the originality of this research work lies in employing a nonlinear control technique, backstepping, to track the desired hypnosis level of patients during surgery.The working of the designed controller is studied on the real dataset of five patients undergoing surgery.The controller tracks the desired hypnosis level within the acceptable range for surgery.

View Article: PubMed Central - PubMed

Affiliation: Department of Electrical Engineering, COMSATS Institute of Information Technology, Chak Shahzad, Park Road, Islamabad 44000, Pakistan.

ABSTRACT
Maintaining the depth of hypnosis (DOH) during surgery is one of the major objectives of anesthesia infusion system. Continuous administration of Propofol infusion during surgical procedures is essential but increases the undue load of an anesthetist in operating room working in a multitasking setup. Manual and target controlled infusion (TCI) systems are not good at handling instabilities like blood pressure changes and heart rate variability arising due to interpatient variability. Patient safety, large interindividual variability, and less postoperative effects are the main factors to motivate automation in anesthesia. The idea of automated system for Propofol infusion excites the control engineers to come up with a more sophisticated and safe system that handles optimum delivery of drug during surgery and avoids postoperative effects. In contrast to most of the investigations with linear control strategies, the originality of this research work lies in employing a nonlinear control technique, backstepping, to track the desired hypnosis level of patients during surgery. This effort is envisioned to unleash the true capabilities of this nonlinear control technique for anesthesia systems used today in biomedical field. The working of the designed controller is studied on the real dataset of five patients undergoing surgery. The controller tracks the desired hypnosis level within the acceptable range for surgery.

No MeSH data available.


Related in: MedlinePlus

Hypnosis level tracking with backstepping control for 5 patients.
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fig4: Hypnosis level tracking with backstepping control for 5 patients.

Mentions: Simulation setup of actual and desired BIS waveforms for the five patients included in Table 1 is shown in Figure 4. The results in above figure show that the hypnosis level of all the five patients depends on different clinical parameters, for example, weight, age, height, gender, and lean body mass. The designed controller handles the interpatient variability together with achieving the desired hypnosis level between 40 and 60 which is suitable for general surgical procedures. BIS waveforms shown in Figure 4 illuminate the robust behavior of the designed controller.


Control Law Design for Propofol Infusion to Regulate Depth of Hypnosis: A Nonlinear Control Strategy.

Khaqan A, Bilal M, Ilyas M, Ijaz B, Ali Riaz R - Comput Math Methods Med (2016)

Hypnosis level tracking with backstepping control for 5 patients.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4863132&req=5

fig4: Hypnosis level tracking with backstepping control for 5 patients.
Mentions: Simulation setup of actual and desired BIS waveforms for the five patients included in Table 1 is shown in Figure 4. The results in above figure show that the hypnosis level of all the five patients depends on different clinical parameters, for example, weight, age, height, gender, and lean body mass. The designed controller handles the interpatient variability together with achieving the desired hypnosis level between 40 and 60 which is suitable for general surgical procedures. BIS waveforms shown in Figure 4 illuminate the robust behavior of the designed controller.

Bottom Line: In contrast to most of the investigations with linear control strategies, the originality of this research work lies in employing a nonlinear control technique, backstepping, to track the desired hypnosis level of patients during surgery.The working of the designed controller is studied on the real dataset of five patients undergoing surgery.The controller tracks the desired hypnosis level within the acceptable range for surgery.

View Article: PubMed Central - PubMed

Affiliation: Department of Electrical Engineering, COMSATS Institute of Information Technology, Chak Shahzad, Park Road, Islamabad 44000, Pakistan.

ABSTRACT
Maintaining the depth of hypnosis (DOH) during surgery is one of the major objectives of anesthesia infusion system. Continuous administration of Propofol infusion during surgical procedures is essential but increases the undue load of an anesthetist in operating room working in a multitasking setup. Manual and target controlled infusion (TCI) systems are not good at handling instabilities like blood pressure changes and heart rate variability arising due to interpatient variability. Patient safety, large interindividual variability, and less postoperative effects are the main factors to motivate automation in anesthesia. The idea of automated system for Propofol infusion excites the control engineers to come up with a more sophisticated and safe system that handles optimum delivery of drug during surgery and avoids postoperative effects. In contrast to most of the investigations with linear control strategies, the originality of this research work lies in employing a nonlinear control technique, backstepping, to track the desired hypnosis level of patients during surgery. This effort is envisioned to unleash the true capabilities of this nonlinear control technique for anesthesia systems used today in biomedical field. The working of the designed controller is studied on the real dataset of five patients undergoing surgery. The controller tracks the desired hypnosis level within the acceptable range for surgery.

No MeSH data available.


Related in: MedlinePlus