title: Neuro-fuzzy closed-loop control of depth of anaesthesia.
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.
authors.affiliation: Institute of Sound and Vibration Research, University of Southampton, Highfield, Hampshire, SO17 1BJ, Southampton, UK. ra@soton.ac.uk
authors.forename: R
authors.initials: R
authors.lastname: Allen
authors.forename: D
authors.initials: D
authors.lastname: Smith
mesh_terms: D000764:Anesthesia, Closed-Circuit; D000768:Anesthesia, General; D004569:Electroencephalography; D005072:Evoked Potentials, Auditory; D017143:Fuzzy Logic; D006801:Humans; D008991:Monitoring, Physiologic / Q000379:methods; D016571:Neural Networks, Computer; D012815:Signal Processing, Computer-Assisted