Non-linear EEG analysis of idiopathic hypersomnia

Authors:
Tarik Al-Ani;Xavier Drouot;Thi Thuy Trang Huynh
Affiliations:
LISV, UVSQ, Vélizy, France and Dept. Informatique, ESIEE-Paris, Noisy-Le-Grand, France;APHP, Hôpital Henri Mondor, Service de Physiologie, Centre du Sommeil, Créteil, France and Universit Paris 12, France;APHP, Hôpital Henri Mondor, Service de Physiologie, Centre du Sommeil, Créteil, France
Venue:
ICISP'10 Proceedings of the 4th international conference on Image and signal processing
Year:
2010

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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.