Control strategy with multivariable fault tolerance module for automatic intravenous anesthesia.

Bi-spectral Index Signal (BIS) Depth of anesthesia (DOA) Mean arterial pressure (MAP) Multivariable fault tolerance module (MFTM) Propofol

Journal

Biomedical engineering letters
ISSN: 2093-985X
Titre abrégé: Biomed Eng Lett
Pays: Germany
ID NLM: 101567784

Informations de publication

Date de publication:
Nov 2020
Historique:
received: 23 02 2020
revised: 23 07 2020
accepted: 31 07 2020
entrez: 16 11 2020
pubmed: 17 11 2020
medline: 17 11 2020
Statut: epublish

Résumé

In the anesthesia automation, an automatic propofol infusion system uses Bi-spectral Index Signal (BIS) as a primary feedback signal to manipulate propofol dose. However, the BIS signal may be suspended for some time due to poor EEG signal quality, noise, and many other factors. Therefore, BIS signal failure may be the main cause of inadequate propofol infusion. This fact motivates the need for integration of multivariable fault tolerance module (MFTM) and fractional-order Smith predictor controller to avoid adverse reactions of inadequate propofol dosing during BIS failure. Smith Predictor control strategy is sufficiently robust to predict feedback BIS during BIS failure via patient pharmacological modeled BIS. However, modeled BIS may not provide a guarantee of adequate propofol infusion during BIS failure and especially in the presence of hypotension and hypertension. Thus, the proposed control strategy is designed with MFTM to detect BIS sensor fault and to estimate feedback BIS during BIS failure. Further, the proposed control strategy is designed with a multivariable pharmacological patient model to analyze the cross effect of propofol infusion on BIS and hemodynamic variables. The robustness of the proposed control strategy is tested in the presence of noxious surgical stimulation, BIS sensor fault and heavy hemodynamic disturbance. The pharmacological parameters and recorded signals of 30 patients during various surgeries have been used to validate simulated results. The performance of the proposed control strategy assures optimization and smooth propofol infusion during BIS failure. The proposed system provides stability for a wide range of physiological parameters range. The proposed scheme maintains smooth BIS and MAP signal despite the delay, BIS sensor fault, and surgical disturbances.

Identifiants

pubmed: 33194248
doi: 10.1007/s13534-020-00169-2
pii: 169
pmc: PMC7655894
doi:

Types de publication

Journal Article

Langues

eng

Pagination

555-578

Informations de copyright

© Korean Society of Medical and Biological Engineering 2020.

Déclaration de conflit d'intérêts

Conflict of interestAuthors declare that they have no conflict of interest.

Références

Acta Anaesthesiol Scand. 2012 Sep;56(8):1032-41
pubmed: 22834710
Br J Anaesth. 2015 Aug;115(2):213-26
pubmed: 25627394
IEEE Trans Biomed Eng. 2015 Mar;62(3):832-41
pubmed: 25373077
Anesthesiology. 2000 Mar;92(3):727-38
pubmed: 10719952
J Clin Monit Comput. 2019 Aug;33(4):675-686
pubmed: 30311073
Braz J Anesthesiol. 2017 Mar - Apr;67(2):122-130
pubmed: 28236859
Biomed Res Int. 2017;2017:7432310
pubmed: 28466018
Comput Biol Med. 2016 Aug 1;75:173-80
pubmed: 27294779
ISA Trans. 2019 Jan;84:178-186
pubmed: 30342816
IET Syst Biol. 2020 Apr;14(2):59-67
pubmed: 32196464
Biomed Eng Lett. 2018 Dec 11;9(1):127-144
pubmed: 30956886
Anesth Analg. 2020 Jun;130(6):1661-1669
pubmed: 31107260
Anesthesiology. 2001 Jul;95(1):6-17
pubmed: 11465585
ISA Trans. 2016 May;62:268-75
pubmed: 26903289
IEEE Trans Biomed Eng. 2011 Feb;58(2):363-9
pubmed: 20959260
Anesthesiology. 2004 Mar;100(3):640-7
pubmed: 15108980
AAPS J. 2011 Jun;13(2):143-51
pubmed: 21302010
Comput Methods Programs Biomed. 2017 Jun;144:21-35
pubmed: 28495004
Korean J Anesthesiol. 2014 Oct;67(4):235-9
pubmed: 25368780
Comput Methods Programs Biomed. 2017 Aug;147:63-83
pubmed: 28734531
IEEE Trans Biomed Eng. 2008 Mar;55(3):874-87
pubmed: 18334379
J Med Syst. 2018 Apr 13;42(5):95
pubmed: 29654373
Artif Intell Med. 2018 Jan;84:159-170
pubmed: 29310966
Anesthesiology. 2002 Jan;96(1):67-73
pubmed: 11753004
Comput Methods Biomech Biomed Engin. 2009 Dec;12(6):727-34
pubmed: 19408139

Auteurs

Bhavina Patel (B)

Department of Electrical Engineering, Sardar Vallabhbhai National Institute of Technology, Surat, India.

Hirenkumar Patel (H)

Department of Electrical Engineering, Sardar Vallabhbhai National Institute of Technology, Surat, India.

Divyang Shah (D)

Surat Municipal Institute of Medical Education and Research (SMIMER), Surat, India.

Alpesh Sarvaia (A)

U. N. Mehta Institute of Cardiology and Research, Ahmedabad, India.

Classifications MeSH