Design of an assistive anaesthesia drug delivery control using knowledge based systems

Divya Agrawal; Sanjeev Kumar; Amod Kumar; Satinder Gombar; Anjan Trikha; Sneh Anand

doi:10.1016/j.knosys.2012.01.012

Design of an assistive anaesthesia drug delivery control using knowledge based systems

Divya Agrawal
, Sanjeev Kumar
, Amod Kumar
, Satinder Gombar
, Anjan Trikha
, Sneh Anand

Department of Anesthesiology and Perioperative Medicine

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

Manual methods used during anaesthesia, to decide and deliver the quantity of drug, required significant effort from the clinical standpoint not guaranteeing an optimal performance. Delivering adequate anaesthesia requires precise automation in anaesthesia drug delivery system which will improve the patient safety, reduce the cost due to minimal consumption of drug and will help in early post-operative recovery. The present study discusses a fuzzy proportional-integral-derivative (fuzzy PID) based controller to suggest the change in quantity of isoflurane to be delivered to the patient, for the maintenance of the desired anaesthetic depth, as targeted by the anaesthesiologist. Depth of Hypnosis (DoH) of the patient is measured using BIS™ index and is used as the measured variable in the controller designed for the maintenance of anaesthesia during surgery. The fuzzy PID controller efficiently deals with the nonlinearity of physiological systems.

Original language	English (US)
Pages (from-to)	1-7
Number of pages	7
Journal	Knowledge-Based Systems
Volume	31
DOIs	https://doi.org/10.1016/j.knosys.2012.01.012
State	Published - Jul 2012

All Science Journal Classification (ASJC) codes

Software
Management Information Systems
Information Systems and Management
Artificial Intelligence

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10.1016/j.knosys.2012.01.012

Cite this

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abstract = "Manual methods used during anaesthesia, to decide and deliver the quantity of drug, required significant effort from the clinical standpoint not guaranteeing an optimal performance. Delivering adequate anaesthesia requires precise automation in anaesthesia drug delivery system which will improve the patient safety, reduce the cost due to minimal consumption of drug and will help in early post-operative recovery. The present study discusses a fuzzy proportional-integral-derivative (fuzzy PID) based controller to suggest the change in quantity of isoflurane to be delivered to the patient, for the maintenance of the desired anaesthetic depth, as targeted by the anaesthesiologist. Depth of Hypnosis (DoH) of the patient is measured using BIS{\texttrademark} index and is used as the measured variable in the controller designed for the maintenance of anaesthesia during surgery. The fuzzy PID controller efficiently deals with the nonlinearity of physiological systems.",

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AU - Kumar, Sanjeev

AU - Kumar, Amod

AU - Gombar, Satinder

AU - Trikha, Anjan

AU - Anand, Sneh

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Design of an assistive anaesthesia drug delivery control using knowledge based systems

Abstract

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