Best Practice & Research Clinical Anaesthesiology
Volume 20, Issue 1 , Pages 31-48 , March 2006

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

  • Helmut Schwilden, MD (Professor of Experimental Anaesthesiology)

      Affiliations

    • Corresponding Author InformationTel.:+49 9131 85 39150; fax: +49 9131 85 39161.

References 

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  6. Takens F. Detecting Strange Attractors in Turbulence. Dynamical Systems and Turbulence. Lecture Notes in Mathematics 898. Berlin: Springer; 1981;
  7. Pijn JP, Velis DN, van der Heyden MJ, et al. Nonlinear dynamics of epileptic seizures on basis of intracranial EEG recordings. Brain Topography. 1997;9:249–270
  8. Pincus SM. Approximate entropy as a measure of system complexity. Proceedings of the National Academy of Sciences of the United States of America. 1991;88:2297–2301
  9. Jeleazcov Ch, Bremer F, Schwilden H. Identifikation geeigneter EEG-parameter für das narkose-monitoring durch simultane analyse von klinischen endpunkten und signal-rausch-verhältnis. Anaesthesiologie, Intensivmedizin; in press.
  10. Jeleazcov C, Fechner J, Schwilden H. Electroencephalogram monitoring during anesthesia with propofol and alfentanil: the impact of second order spectral analysis. Anesthesia & Analgesia. 2005;100:1365–1369
  11. Bruhn J, Ropcke H, Hoeft A. Approximate entropy as an electroencephalographic measure of anesthetic drug effect during desflurane anesthesia. Anesthesiology. 2000;92:715–726

PII: S1521-6896(05)00072-8

doi: 10.1016/j.bpa.2005.09.001

Best Practice & Research Clinical Anaesthesiology
Volume 20, Issue 1 , Pages 31-48 , March 2006