Literature DB >> 12580234

Hierarchical rule-based monitoring and fuzzy logic control for neuromuscular block.

J S Shieh1, S Z Fan, L W Chang, C C Liu.   

Abstract

OBJECTIVE: The important task for anaesthetists is to provide an adequate degree of neuromuscular block during surgical operations, so that it should not be difficult to antagonize at the end of surgery. Therefore, this study examined the application of a simple technique (i.e., fuzzy logic) to an almost ideal muscle relaxant (i.e., rocuronium) at general anaesthesia in order to control the system more easily, efficiently, intelligently and safely during an operation.
METHODS: The characteristics of neuromuscular blockade induced by rocuronium were studied in 10 ASA I or II adult patients anaesthetized with inhalational (i.e., isoflurane) anaesthesia. A Datex Relaxograph was used to monitor neuromuscular block. And, ulnar nerve was stimulated supramaximally with repeated train-of-four via surface electrodes at the wrist. Initially a notebook personal computer was linked to a Datex Relaxograph to monitor electromyogram (EMG) signals which had been pruned by a three-level hierarchical structure of filters in order to design a controller for administering muscle relaxants. Furthermore, a four-level hierarchical fuzzy logic controller using the fuzzy logic and rule of thumb concept has been incorporated into the system. The Student's test was used to compare the variance between the groups. p < 0.05 was considered significant.
RESULTS: The system achieved stable control of muscle relaxation with a mean T1% error of -0.19 (SD 0.66) % accommodating a range in mean infusion rate (MIR) of 0.21-0.49 mg x kg(-1) x h(-1). When these results were compared with our previous ones using the same hierarchical structure applied to mivacurium, less variation in the T1% error (p < 0.05) but the same variation in infusion rate were observed. The controller activity of these two drugs showed no significant difference (p > 0.5). However, the consistent medium coefficient variance (CV) of the MIR of both rocuronium (i.e., 36.13 (SD 9.35) %) and mivacurium (i.e., 34.03 (SD 10.76) %) indicated a good controller activity.
CONCLUSIONS: The results showed that a hierarchical rule-based monitoring and fuzzy logic control architecture can provide stable control of neuromuscular block despite the considerable individual variation in neuromuscular block required among patients. Also, there was less variation in T1% error compared with that of previous study on mivacurium. Meanwhile, the consistent medium CV of the MIR of both rocuronium and mivacurium indicated a good controller activity which is able to withstand noise, diathermy effect, artifacts and surgical disturbances.

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Year:  2000        PMID: 12580234     DOI: 10.1023/a:1012212516100

Source DB:  PubMed          Journal:  J Clin Monit Comput        ISSN: 1387-1307            Impact factor:   2.502


  18 in total

1.  Use of a pharmacokinetic-dynamic model for the automatic feedback control of atracurium.

Authors:  H Schwilden; K T Olkkola
Journal:  Eur J Clin Pharmacol       Date:  1991       Impact factor: 2.953

2.  Self-learning fuzzy logic control of neuromuscular block.

Authors:  J J Ross; D G Mason; D A Linkens; N D Edwards
Journal:  Br J Anaesth       Date:  1997-04       Impact factor: 9.166

3.  Automatic control of neuromuscular block with atracurium.

Authors:  A D MacLeod; A J Asbury; W M Gray; D A Linkens
Journal:  Br J Anaesth       Date:  1989-07       Impact factor: 9.166

4.  Infusion of vecuronium controlled by a closed-loop system.

Authors:  J W de Vries; H H Ros; L H Booij
Journal:  Br J Anaesth       Date:  1986-10       Impact factor: 9.166

5.  Self-learning fuzzy control of atracurium-induced neuromuscular block during surgery.

Authors:  D G Mason; J J Ross; N D Edwards; D A Linkens; C S Reilly
Journal:  Med Biol Eng Comput       Date:  1997-09       Impact factor: 2.602

Review 6.  Fuzzy logic: new ways of thinking for anaesthesia.

Authors:  A J Asbury; Y Tzabar
Journal:  Br J Anaesth       Date:  1995-07       Impact factor: 9.166

7.  Development of a portable closed-loop atracurium infusion system: systems methodology and safety issues.

Authors:  D G Mason; D A Linkens; N D Edwards; C S Reilly
Journal:  Int J Clin Monit Comput       Date:  1996-11

8.  The cardiovascular effects of mivacurium chloride (BW B1090U) in patients receiving nitrous oxide-opiate-barbiturate anesthesia.

Authors:  J J Savarese; H H Ali; S J Basta; R P Scott; P B Embree; W B Wastila; M M Abou-Donia; C Gelb
Journal:  Anesthesiology       Date:  1989-03       Impact factor: 7.892

9.  Atracurium infusions in major ophthalmic surgery.

Authors:  J M Hunter; J M Kelly; R S Jones
Journal:  Eur J Anaesthesiol       Date:  1987-01       Impact factor: 4.330

10.  Feedback control of neuromuscular blockade. A simple system for infusion of atracurium.

Authors:  C M Wait; V A Goat; C E Blogg
Journal:  Anaesthesia       Date:  1987-11       Impact factor: 6.955

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  4 in total

1.  An Adaptive Monitoring Scheme for Automatic Control of Anaesthesia in dynamic surgical environments based on Bispectral Index and Blood Pressure.

Authors:  Yu-Ning Yu; Faiyaz Doctor; Shou-Zen Fan; Jiann-Shing Shieh
Journal:  J Med Syst       Date:  2018-04-13       Impact factor: 4.460

2.  Hipocrates: a robust system for the control of neuromuscular blockade.

Authors:  Teresa Mendonça; Hugo Magalhães; Pedro Lago; Simão Esteves
Journal:  J Clin Monit Comput       Date:  2004-08       Impact factor: 2.502

Review 3.  Fuzzy logic and decision-making in anaesthetics.

Authors:  Paul Grant; Ole Naesh
Journal:  J R Soc Med       Date:  2005-01       Impact factor: 18.000

4.  Performance analysis of extracted rule-base multivariable type-2 self-organizing fuzzy logic controller applied to anesthesia.

Authors:  Yan-Xin Liu; Faiyaz Doctor; Shou-Zen Fan; Jiann-Shing Shieh
Journal:  Biomed Res Int       Date:  2014-12-21       Impact factor: 3.411

  4 in total

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