Literature DB >> 14822927

Use of frequency discrimination in the automatic electroencephalographic control of anesthesia (servo-anesthesia).

R G BICKFORD.   

Abstract

Keywords:  ANESTHESIA; ELECTROENCEPHALOGRAPHY

Mesh：

Year:  1951        PMID： 14822927     DOI： 10.1016/0013-4694(51)90058-2

Source DB:  PubMed          Journal:  Electroencephalogr Clin Neurophysiol        ISSN： 0013-4694


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  6 in total

1.  [Feedback control of depth of anesthesia during propofol administration. Bispectral index as the controlled variable].

Authors:  M Janda; J Bajorat; O Simanski; R Kähler; B Pohl; G F E Nöldge-Schomburg; R Hofmockel
Journal:  Anaesthesist       Date:  2010-07       Impact factor: 1.041

2.  Guidelines for intraoperative neuromonitoring using raw (analog or digital waveforms) and quantitative electroencephalography: a position statement by the American Society of Neurophysiological Monitoring.

Authors:  Michael R Isley; Harvey L Edmonds; Mark Stecker
Journal:  J Clin Monit Comput       Date:  2009-09-16       Impact factor: 2.502

3.  Artificial Intelligence and Machine Learning in Anesthesiology.

Authors:  Christopher W Connor
Journal:  Anesthesiology       Date:  2019-12       Impact factor: 7.892

4.  Automatic control of anesthesia using two feedback variables.

Authors:  G F Schils; F J Sasse; V C Rideout
Journal:  Ann Biomed Eng       Date:  1987       Impact factor: 3.934

5.  A closed-loop anesthetic delivery system for real-time control of burst suppression.

Authors:  Max Y Liberman; Shinung Ching; Jessica Chemali; Emery N Brown
Journal:  J Neural Eng       Date:  2013-06-07       Impact factor: 5.379

6.  A brain-machine interface for control of medically-induced coma.

Authors:  Maryam M Shanechi; Jessica J Chemali; Max Liberman; Ken Solt; Emery N Brown
Journal:  PLoS Comput Biol       Date:  2013-10-31       Impact factor: 4.475
  6 in total

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