Literature DB >> 12455745

Monitoring anesthesia using neural networks: a survey.

Claude Robert1, Patrick Karasinski, Charles Daniel Arreto, Jean François Gaudy.   

Abstract

New methods of data processing combined with advances in computer technology have revolutionized monitoring of patients under anesthesia. The development of systems based on analysis of brain electrical activity (EEG or evoked potentials) by neural networks has provided impetus to many investigators. Though not claiming to be the end-all in patient monitoring, the potential and efficiency of the combination does indeed stand out. Various strategies are presented and discussed, as well as suggestions for further investigation.

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Year:  2002        PMID： 12455745     DOI： 10.1023/a:1020783324797

Source DB:  PubMed          Journal:  J Clin Monit Comput        ISSN： 1387-1307            Impact factor:   2.502


  40 in total

1.  The use of fuzzy integrals and bispectral analysis of the electroencephalogram to predict movement under anesthesia.

Authors:  J Muthuswamy; R J Roy
Journal:  IEEE Trans Biomed Eng       Date:  1999-03       Impact factor: 4.538

2.  Discrimination of anesthetic states using mid-latency auditory evoked potential and artificial neural networks.

Authors:  X S Zhang; R J Roy; D Schwender; M Daunderer
Journal:  Ann Biomed Eng       Date:  2001-05       Impact factor: 3.934

3.  Automated interictal EEG spike detection using artificial neural networks.

Authors:  A J Gabor; M Seyal
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1992-11

4.  Evaluating black-boxes as medical decision aids: issues arising from a study of neural networks.

Authors:  A Hart; J Wyatt
Journal:  Med Inform (Lond)       Date:  1990 Jul-Sep

5.  Plasma concentrations of alfentanil required to supplement nitrous oxide anesthesia for general surgery.

Authors:  M E Ausems; C C Hug; D R Stanski; A G Burm
Journal:  Anesthesiology       Date:  1986-10       Impact factor: 7.892

6.  Using neural networks for processing biologic signals.

Authors:  R M Sabbatini
Journal:  MD Comput       Date:  1996 Mar-Apr

7.  Visual evoked potential enhancement by an artificial neural network filter.

Authors:  K S Fung; F H Chan; F K Lam; J G Liu; P W Poon
Journal:  Biomed Mater Eng       Date:  1996       Impact factor: 1.300

8.  Design of a recognition system to predict movement during anesthesia.

Authors:  A Sharma; R J Roy
Journal:  IEEE Trans Biomed Eng       Date:  1997-06       Impact factor: 4.538

9.  Differentiating the effects of three benzodiazepines on non-REM sleep EEG spectra. A neural-network pattern classification analysis.

Authors:  A S Gevins; R K Stone; S D Ragsdale
Journal:  Neuropsychobiology       Date:  1988       Impact factor: 2.328

10.  [Intraoperative EEG monitoring using a neural network].

Authors:  O Eckert; C Werry; A Neulinger; I Pichlmayr
Journal:  Biomed Tech (Berl)       Date:  1997-04       Impact factor: 1.411
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  1 in total

1.  Defining the incidence of cardiorespiratory instability in patients in step-down units using an electronic integrated monitoring system.

Authors:  Marilyn Hravnak; Leslie Edwards; Amy Clontz; Cynthia Valenta; Michael A Devita; Michael R Pinsky
Journal:  Arch Intern Med       Date:  2008-06-23
  1 in total

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