Literature DB >> 16915771

EEG parameters and their combination as indicators of depth of anaesthesia.

Denis Jordan1, Gerhard Schneider, Andreas Hock, Thomas Hensel, Gudrun Stockmanns, Eberhard F Kochs.   

Abstract

EEG parameters for assessment of depth of anaesthesia are typically based on different signal processing methods, such as spectral and complexity analysis. In the present study, the parameters investigated (WSMF, qWSMF, approximate entropy and Lempel-Ziv complexity) do not correlate monotonically to depth of anaesthesia. To obtain this correlation, parameters are combined based on fuzzy inference, whereby each parameter only operates in a specific range. Fuzzy inference seems to be a suitable approach, as the indicator designed separates wakefulness from unconsciousness as well as the best single parameter does and correlates to the depth of anaesthesia.

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Year:  2006        PMID: 16915771     DOI: 10.1515/BMT.2006.016

Source DB:  PubMed          Journal:  Biomed Tech (Berl)        ISSN: 0013-5585            Impact factor:   1.411


  3 in total

1.  Estimation of Complexity of Sampled Biomedical Continuous Time Signals Using Approximate Entropy.

Authors:  Luca Mesin
Journal:  Front Physiol       Date:  2018-06-11       Impact factor: 4.566

2.  Accuracy of combined EEG parameters in prediction the depth of anesthesia.

Authors:  Nourmohammad Arefian; Amir Saied Seddighi; Afsoun Seddighi; Ali Reza Zali
Journal:  Iran Red Crescent Med J       Date:  2012-12-06       Impact factor: 0.611

3.  Electroencephalogram approximate entropy influenced by both age and sleep.

Authors:  Gerick M H Lee; Sara Fattinger; Anne-Laure Mouthon; Quentin Noirhomme; Reto Huber
Journal:  Front Neuroinform       Date:  2013-12-05       Impact factor: 4.081

  3 in total

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