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

Mason, D. G., Ross, J. J., Edwards, N. D., Linkens, D. A. and Reilly, C. S. (1997) Self-learning fuzzy control of atracurium-induced neuromuscular block during surgery. Medical and Biological Engineering and Computing, 35 5: 498-503. doi:10.1007/BF02525530

Author Mason, D. G.
Ross, J. J.
Edwards, N. D.
Linkens, D. A.
Reilly, C. S.
Title Self-learning fuzzy control of atracurium-induced neuromuscular block during surgery
Journal name Medical and Biological Engineering and Computing   Check publisher's open access policy
ISSN 0140-0118
Publication date 1997-09
Sub-type Article (original research)
DOI 10.1007/BF02525530
Volume 35
Issue 5
Start page 498
End page 503
Total pages 6
Place of publication Heidelberg, Germany
Publisher Springer
Language eng
Formatted abstract
Self-learning fuzzy logic control has the important property of accommodating uncertain, non-linear and time-varying process characteristics. This intelligent control scheme starts with no fuzzy control rules and learns how to control each process presented to it in real time, without the need for detailed process modelling. A suitable medical application to investigate this control strategy is atracurium-induced neuromuscular block (NMB) of patients in the operating theatre. Here, the patient response exhibits high non-linearity, and individual patient dose requirements can vary five-fold during an operating procedure. A portable control system was developed to assess the clinical performance of a simplified self-learning fuzzy controller in this application. A Paragraph (Vital Signs) NMB device monitored T1, the height of the first twitch in a train-of-four nerve stimulation mode. Using a T1 setpoint=10% of baseline in ten patients undergoing general surgery, a mean T1 error of 0.45% (SD=0.44%) is found while a 0.13–0.70 mg k−1 h−1 range in the mean atracurium infusion rate is accommodated. The result compares favourably with more complex and computationally-intensive model-based control strategies for the infusion of atracurium.
Keyword Computer control
Fuzzy control
Neuromuscular block
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Information Technology and Electrical Engineering Publications
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Citation counts: TR Web of Science Citation Count  Cited 14 times in Thomson Reuters Web of Science Article | Citations
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Created: Fri, 11 Mar 2011, 10:56:19 EST by Dr David Mason on behalf of School of Information Technol and Elec Engineering