Literature DB >> 16634412

Concepts of EEG processing: from power spectrum to bispectrum, fractals, entropies and all that.

Helmut Schwilden1.   

Abstract

Over the past two decades, methods of processing the EEG for monitoring anaesthesia have greatly expanded. Whereas power spectral analysis was once the most important tool for extracting EEG monitoring variables, higher-order spectra, wavelet decomposition and especially methods used in the analysis of complex dynamical systems such as non-linear dissipative systems are nowadays attracting much attention. This chapter reviews some of these methods in brief. However, a comparison of some of the newer approaches with the more traditional ones with respect to clinical end-points by association measures and to the signal-to-noise ratio raises some doubt over whether the newer EEG-processing techniques really do better than the more traditional ones.

Mesh:

Year:  2006        PMID: 16634412     DOI: 10.1016/j.bpa.2005.09.001

Source DB:  PubMed          Journal:  Best Pract Res Clin Anaesthesiol        ISSN: 1521-6896


  7 in total

1.  Third order spectral analysis robust to mixing artifacts for mapping cross-frequency interactions in EEG/MEG.

Authors:  F Chella; L Marzetti; V Pizzella; F Zappasodi; G Nolte
Journal:  Neuroimage       Date:  2014-01-10       Impact factor: 6.556

Review 2.  Towards a Comprehensive Understanding of Anesthetic Mechanisms of Action: A Decade of Discovery.

Authors:  Hugh C Hemmings; Paul M Riegelhaupt; Max B Kelz; Ken Solt; Roderic G Eckenhoff; Beverley A Orser; Peter A Goldstein
Journal:  Trends Pharmacol Sci       Date:  2019-05-27       Impact factor: 14.819

3.  Prognostic value of EEG indexes for the Glasgow outcome scale of comatose patients in the acute phase.

Authors:  Luca Mesin; Paolo Costa
Journal:  J Clin Monit Comput       Date:  2013-12-17       Impact factor: 2.502

4.  A dose escalation study in sheep of the effects of the benzodiazepine CNS 7056 on sedation, the EEG and the respiratory and cardiovascular systems.

Authors:  Rn Upton; Am Martinez; C Grant
Journal:  Br J Pharmacol       Date:  2008-06-16       Impact factor: 8.739

5.  Discrete Scale Invariance of Human Large EEG Voltage Deflections is More Prominent in Waking than Sleep Stage 2.

Authors:  Todd Zorick; Mark A Mandelkern
Journal:  Front Hum Neurosci       Date:  2015-12-02       Impact factor: 3.169

6.  Engineering nonlinear epileptic biomarkers using deep learning and Benford's law.

Authors:  Joseph Caffarini; Klevest Gjini; Brinda Sevak; Roger Waleffe; Mariel Kalkach-Aparicio; Melanie Boly; Aaron F Struck
Journal:  Sci Rep       Date:  2022-03-30       Impact factor: 4.379

7.  Multifractal detrended fluctuation analysis of human EEG: preliminary investigation and comparison with the wavelet transform modulus maxima technique.

Authors:  Todd Zorick; Mark A Mandelkern
Journal:  PLoS One       Date:  2013-07-03       Impact factor: 3.240

  7 in total

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