Characterization of sleep spindles using higher order statistics and spectra

被引：29

作者：

Akgül, T ^{[1
]}

Sun, MG

Sclabassi, RJ

Çetin, AE

机构：

[1] TUBITAK Marmara Res Ctr, Inst Technol Res Inst, TR-41470 Gebze Kocaeli, Turkey

[2] Univ Pittsburgh, Dept Neurol Surg, Lab Computat Neurosci, Pittsburgh, PA 15261 USA

[3] Univ Pittsburgh, Dept Elect Engn, Pittsburgh, PA 15261 USA

[4] Bilkent Univ, Dept Elect Engn, TR-06533 Ankara, Turkey

来源：

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING | 2000年 / 47卷 / 08期

基金：

美国国家卫生研究院;

关键词：

bispectrum; cumulants; EEG; higher order spectra; higher order statistics; sleep spindles; sum-of-cumulants;

D O I：

10.1109/10.855926

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

This work characterizes the dynamics of sleep spindles, observed in electroencephalogram (EEG) recorded from humans during sleep, using both time and frequency domain methods which depend on higher order statistics and spectra, The time domain method combines the use of second- and third order correlations to reveal information on the stationarity of periodic spindle rhythms to detect transitions between multiple activities. The frequency domain method, based on normalized spectrum and bispectrum, describes frequency interactions associated with nonlinearities occuring in the observed EEG.

引用

页码：997 / 1009

页数：13

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