Non-linear EEG Analysis of Idiopathic Hypersomnia

  • Tarik Al-ani
  • Xavier Drouot
  • Thi Thuy Trang Huynh
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6134)

Abstract

The electroencephalogram (EEG) signals are used to analyse and quantify the “depth” of sleep and its dynamic behaviour during night. In this work, we investigate a direct data-driven nonlinear and non-stationary quantitative analysis of sleep EEG issued from patients suffering from idopathic hypersomnia. We show that the minimum weighted average instantaneous frequency appears to be a specific intrinsic characteristic of brain function mechanism in these patients. It could be an interesting new parameter for the quantification of sleep.

Keywords

Empirical Mode Decomposition Instantaneous Frequency Intrinsic Mode Function Healthy Female Deep Sleep 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Tarik Al-ani
    • 1
    • 2
  • Xavier Drouot
    • 3
    • 4
  • Thi Thuy Trang Huynh
    • 3
  1. 1.LISV-UVSQVélizyFrance
  2. 2.Dept. InformatiqueESIEE-Paris, Cité DescartesNoisy-Le-GrandFrance
  3. 3.Centre du SommeilAPHP, Hôpital Henri Mondor, Service de PhysiologieCréteilFrance
  4. 4.EA 4391, Université Paris 12France

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