Key result
A nonlinear backstepping control strategy for automated propofol infusion successfully tracked the desired hypnosis level within the acceptable range for surgery in a dataset of 5 patients.
Why the study?
Does a nonlinear backstepping control strategy for automated propofol infusion effectively track the desired depth of hypnosis in patients undergoing surgery?
Does a nonlinear backstepping control strategy for automated propofol infusion effectively track the desired depth of hypnosis in patients undergoing surgery?
A nonlinear backstepping control strategy for automated propofol infusion can effectively maintain the depth of hypnosis during surgery, potentially improving patient safety and reducing anesthetist workload.
Should not change anesthesia practice; leaves open validation of automated propofol control in randomized trials.
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.
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Khaqan et al. (2016) studied Patients undergoing surgery requiring anesthesia (n=5). Nonlinear control technique (backstepping) for automated Propofol infusion was evaluated on Tracking the desired hypnosis level within the acceptable range. A nonlinear backstepping control strategy for automated propofol infusion successfully tracked the desired hypnosis level within the acceptable range for surgery in a dataset of 5 patients.
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