Analysis of EEG activity during sleep - brain hemisphere symmetry of two classes of sleep spindles

• Authors: Magdalena Smolen
• Languages of publication: EN

Abstracts

EN

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.

Keywords

EN

polysomnography; delta waves; sleep spindles; Matching Pursuit; adaptive approximations

• Publisher: Versita
• Journal: Polish Journal of Medical Physics And Engineering
• Year: 2009
• Volume: 15
• Issue: 2
• Pages: 65-75

Dates

published

1 - 1 - 2009

online

22 - 9 - 2010

Contributors

author

Magdalena Smolen

• Faculty of Physics and Applied Computer Science, AGH University of Science and Technology, 30 Mickiewicza Ave., 30-059 Krakow, Poland

References

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Identifiers

DOI

10.2478/v10013-009-0007-7