Fuzzy logic for auditory evoked response monitoring and control of depth of anaesthesia-Reference-Cited by-同舟云学术

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Fuzzy logic for auditory evoked response monitoring and control of depth of anaesthesia

Published:1998-11 Issue:1-3 Volume:100 Page:29-43
ISSN:0165-0114
Container-title:Fuzzy Sets and Systems
language:en
Short-container-title:Fuzzy Sets and Systems

Author:

Elkfafi M.,Shieh J.S.,Linkens D.A.,Peacock J.E.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Logic

Reference25 articles.

1. Intelligent signal processing of evoked potentials for control of anaesthesia;Elkfafi,1995

2. Evoked potentials in the elderly;Gilmore;J. Clin. Neurophysiol.,1995

3. Fuzzy logic for medical expert systems;Halim;Ann. Academy Med.,1990

4. A fuzzy model for medical diagnosis;Holzmann;Med. Progr. Technol.,1988

5. An example of linguistic modeling: the case of mulder's theory of power;Kickert,1979

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1. Application of fuzzy learning in IoT-enabled remote healthcare monitoring and control of anesthetic depth during surgery;Information Sciences;2023-05

2. Credibility Evidence for Computational Patient Models Used in the Development of Physiological Closed-Loop Controlled Devices for Critical Care Medicine;Frontiers in Physiology;2019-03-26

3. Interval type-2 fuzzy neural network controller for a multivariable anesthesia system based on a hardware-in-the-loop simulation;Artificial Intelligence in Medicine;2014-05

4. Review: Intelligent Modeling and Control in Anesthesia;Journal of Medical and Biological Engineering;2012

5. Direct adaptive interval type-2 fuzzy logic controller for the multivariable anaesthesia system;Ain Shams Engineering Journal;2011-09

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