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Automatic closed-loop control of mivacurium infusions applying neural networks

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3 Author(s)
M. Lendl ; Dept. of Theor. Found. of Electr. Eng., Erlangen-Nurnberg Univ., Germany ; G. F. Geldner ; R. Unbehauen

Recently introduced short-acting blocking agents like mivacurium provide benefits for the clinical routine due to a small onset time and half life. So for an automatic closed-loop control of the neuromuscular blockade a fast and highly adaptable control unit is needed. Its development should not imply costly investigations for determining a pharmacological model. The fulfilling of these requirements yields a self-adapting model-based predictive control system applying artificial neural networks. In a clinical study mivacurium was administered to 35 patients (ASA I-III). The performance of the novel system (mean of the T 1-error: -0.32±1.7) compares favourably with closed-loop controllers demonstrated in the past. These promising results and the easy adaption to other blocking agents encourage to apply this technology even for delivering hypnotic drugs

Published in:

[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint  (Volume:2 )

Date of Conference:

Oct 1999