Abstract
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 occurring in the observed EEG.
Original language | English |
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Pages (from-to) | 997-1009 |
Number of pages | 13 |
Journal | IEEE Transactions on Biomedical Engineering |
Volume | 47 |
Issue number | 8 |
DOIs | |
Publication status | Published - Aug 2000 |
Externally published | Yes |
Funding
Manuscript received November 26, 1998; revised March 10, 2000. The work of T. Akgül was supported in part by TÜBİTAK-BAYG and Çukurova University, Turkey. The work of the M. Sun and R. J. Sclabassi was supported in part by the Whitaker Foundation and in part by the National Institutes of Health. Asterisk indicates corresponding author. *T. Akgül is with TUBITAK Marmara Research Center, Information Technologies Research Institute, 41470 Gebze-Kocaeli, Turkey.
Funders | Funder number |
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TÜBİTAK-BAYG | |
National Institutes of Health | |
Whitaker Foundation | |
Çukurova Üniversitesi |
Keywords
- Bispectrum
- Cumulants
- EEG
- Higher order spectra
- Higher order statistics
- Sleep spindles
- Sum-of-cumulants