Explicit parameterization of sleep EEG transients.
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.
Malinowska
Urszula
U
Department of Biomedical Physics, Institute of Experimental Physics, Warsaw University, ul. Hoza 69, 00-681 Warszawa, Poland. ula@fuw.edu.pl
Durka
Piotr J
PJ
Zygierewicz
Jarosław
J
Szelenberger
Waldemar
W
Wakarow
Andrzej
A
D000465:Algorithms; D003196:Computer Graphics; D003700:Delta Rhythm; D004569:Electroencephalography; D006801:Humans; D008432:Mathematical Computing; D017286:Polysomnography; D012815:Signal Processing, Computer-Assisted; D012894:Sleep Stages / Q000502:physiology*; D012984:Software