Evidence map›Paper›PMID 27293475›Full record

ArticleComputational and mathematical methods in medicine2015

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

Ali Khaqan, Muhammad Bilal, Muhammad Ilyas, Bilal Ijaz, Raja Ali Riaz

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Article in Computational and mathematical methods in medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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2 citing papers in PubMed.

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5 · Who and what money

Authors and funding

5 authors.

Ali KhaqanDepartment of Electrical Engineering, COMSATS Institute of Information Technology, Chak Shahzad, Park Road, Islamabad 44000, Pakistan.
Muhammad BilalDepartment of Electrical Engineering, COMSATS Institute of Information Technology, Chak Shahzad, Park Road, Islamabad 44000, Pakistan.
Muhammad IlyasDepartment of Electrical Engineering, COMSATS Institute of Information Technology, Chak Shahzad, Park Road, Islamabad 44000, Pakistan.
Bilal IjazDepartment of Electrical Engineering, COMSATS Institute of Information Technology, Chak Shahzad, Park Road, Islamabad 44000, Pakistan.
Raja Ali RiazDepartment of Electrical Engineering, COMSATS Institute of Information Technology, Chak Shahzad, Park Road, Islamabad 44000, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

AnesthesiaAnesthetics, IntravenousBiomedical EngineeringComputational BiologyComputer SimulationDrug Delivery SystemsElectroencephalographyHumansInfusions, IntravenousModels, BiologicalMonitoring, IntraoperativeNonlinear DynamicsPropofolAnesthetics, IntravenousPropofol

Identifiers

PMID27293475
PMCPMC4863132

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