Analysis of EEG activity during sleep - brain hemisphere symmetry of two classes of sleep spindles
By: Magdalena Smolen
Open Access
|Sep 2010Abstract
This paper presents automatic analysis of some selected human electroencephalographic patterns during deep sleep using the Matching Pursuit (MP) algorithm.
The periodicity of deep sleep EEG patterns was observed by calculating autocorrelation functions of their percentage contributions. The study confirmed the increasing trend of amplitude-weighted average frequency of sleep spindles from frontal to posterior derivations. The dominant frequencies from the left and the right brain hemisphere were strongly correlated.
Language: English
Page range: 65 - 75
Published on: Sep 22, 2010
Published by: Polish Society of Medical Physics
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
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© 2010 Magdalena Smolen, published by Polish Society of Medical Physics
This work is licensed under the Creative Commons License.