Neuro-fuzzy closed-loop control of depth of anaesthesia
Neuro-fuzzy closed-loop control of depth of anaesthesia
The utility of the auditory evoked potential (AEP) is under investigation as a feedback signal for the automatic closed-loop control of general anaesthesia using neural networks and fuzzy logic. The AEP is a signal derived from the electroencephalogram (EEG) in response to auditory stimulation, which may be useful as an index of the ‘depth’ of anaesthesia. A simple back-propagation neural network can learn the AEP and provides a satisfactory input to a fuzzy logic infusion controller for the administration of anaesthetic drugs, but the problem remains that of reliable signal acquisition.
anaesthesia, closed-loop control, auditory evoked potential, neural network, fuzzy controller
185-191
Allen, Robert
956a918f-278c-48ef-8e19-65aa463f199a
Smith, David
585b99c5-7a6c-49b5-92f4-68da743888de
2001
Allen, Robert
956a918f-278c-48ef-8e19-65aa463f199a
Smith, David
585b99c5-7a6c-49b5-92f4-68da743888de
Allen, Robert and Smith, David
(2001)
Neuro-fuzzy closed-loop control of depth of anaesthesia.
Artificial Intelligence in Medicine, 21 (1-3), .
(doi:10.1016/S0933-3657(00)00084-1).
Abstract
The utility of the auditory evoked potential (AEP) is under investigation as a feedback signal for the automatic closed-loop control of general anaesthesia using neural networks and fuzzy logic. The AEP is a signal derived from the electroencephalogram (EEG) in response to auditory stimulation, which may be useful as an index of the ‘depth’ of anaesthesia. A simple back-propagation neural network can learn the AEP and provides a satisfactory input to a fuzzy logic infusion controller for the administration of anaesthetic drugs, but the problem remains that of reliable signal acquisition.
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Published date: 2001
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Keywords:
anaesthesia, closed-loop control, auditory evoked potential, neural network, fuzzy controller
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Local EPrints ID: 10817
URI: http://eprints.soton.ac.uk/id/eprint/10817
ISSN: 0933-3657
PURE UUID: a7a9645d-aad4-4334-b1f8-8c9fde24a0bb
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Date deposited: 10 Feb 2006
Last modified: 15 Mar 2024 05:00
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Author:
David Smith
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