Title: Adaptive fractional order controller with Smith predictor-based propofol dosing in intravenous anaesthesia automation

Authors: Bhavina Patel; Hiren Patel; Pragna Vachhrajani; Divyang Shah

Addresses: Department of Electrical Engineering, Sardar Vallabhbhai National Institute of Technology, Surat, India ' Department of Electrical Engineering, Sardar Vallabhbhai National Institute of Technology, Surat, India ' Department of Anesthesia, Surat Municipal Institute of Medical Education and Research (SMIMER), Surat, India ' Department of Anesthesia, Surat Municipal Institute of Medical Education and Research (SMIMER), Surat, India

Abstract: This paper is designed to propose a clinical simulation model for automatic propofol dose delivery. We suggest adaptive fractional order controller (AFCSP) with Smith predictor design based on Commande Robuste d'Ordre Non Entier (CRONE) principle to provide adequate hypnotic intravenous drug infusion regimen for propofol. The main aim of the proposed design is to avoid frequent adaption complexity and provide another approach of adaption based on sensitivity parameters in place of BIS signal. Proposed controller is designed from model-based analytical method with a two-time domain tuning parameters using explicit equations instead of complex nonlinear equations but yield the same results. AFCSP utilises the combination of bolus and continuous dose. Robustness test of AFCSP is carried out with patient variability, time delays, and surgical stimuli, compared with conventional methods. This scheme is advantageous in terms of improving speed of response, oscillations and overshoots in BIS, also examined on real dataset of 31 different patients.

Keywords: adaptive fractional order controller; depth of anaesthesia; DOA; intravenous; BIS; propofol.

DOI: 10.1504/IJBET.2021.120189

International Journal of Biomedical Engineering and Technology, 2021 Vol.37 No.4, pp.323 - 347

Received: 12 Sep 2018
Accepted: 18 Dec 2018

Published online: 11 Jan 2022 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article