Explicit parameterization of sleep EEG transients

  • Authors:

  • Urszula Malinowska;Piotr J. Durka;Jarosław Żygierewicz;Waldemar Szelenberger;Andrzej Wakarow

  • Affiliations:

  • Department of Biomedical Physics, Institute of Experimental Physics, Warsaw University, ul. Hoa 69, 00-681 Warszawa, Poland;Department of Biomedical Physics, Institute of Experimental Physics, Warsaw University, ul. Hoa 69, 00-681 Warszawa, Poland;Department of Biomedical Physics, Institute of Experimental Physics, Warsaw University, ul. Hoa 69, 00-681 Warszawa, Poland;Department of Psychiatry, Medical University of Warsaw, ul. Nowowiejska 27, 00-665 Warszawa, Poland;Department of Psychiatry, Medical University of Warsaw, ul. Nowowiejska 27, 00-665 Warszawa, Poland

  • Venue:
  • Computers in Biology and Medicine
  • Year:
  • 2007

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Abstract

Adaptive time-frequency approximations, implemented via the matching pursuit algorithm, offer description of local signals structures in terms of their time occurrence and width, frequency and amplitude. This allows to construct explicit filters for finding EEG waveforms, known from the visual analysis, in the matching pursuit decomposition of signals. In such a way detectors of relevant structures of both transient and oscillatory nature can be constructed in the space of physically meaningful parameters. This study presents evaluation of changes of power and frequency of sleep spindles and delta waves, related to the depth of the sleep, which were previously assessed in a qualitative way. We confirm quantitatively the decrease of frequencies of sleep spindles and delta waves with the depth of the sleep.