Explicit parameterization of sleep EEG transients

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 vis...

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Bibliographic Details
Published in:Computers in biology and medicine 2007-04, Vol.37 (4), p.534-541
Main Authors: Malinowska, Urszula, Durka, Piotr J, Żygierewicz, Jarosław, Szelenberger, Waldemar, Wakarow, Andrzej
Format: Article
Language:English
Subjects:
Algorithms
Computer Graphics
Delta Rhythm
Delta waves
EEG
Electroencephalography
Humans
Hypnogram
Internal Medicine
Matching pursuit
Mathematical Computing
Other
Polysomnography
Signal Processing, Computer-Assisted
Sleep spindles
Sleep Stages - physiology
Software
Time-frequency
Wavelets
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Summary: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.
ISSN:0010-4825
1879-0534
DOI:10.1016/j.compbiomed.2006.08.005