Characterization of sleep spindles using higher order statistics and spectra
Sun, M. G.
Sclabassi, R. J.
Cetin, A. E.
Please cite this item using this persistent URLhttp://hdl.handle.net/11693/13582
IEEE Transactions on Biomedical Engineering
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.
Akgül, T., Sun, M., Sclahassi, R. J., & Çetin, A. E. (2000). Characterization of sleep spindles using higher order statistics and spectra. Biomedical Engineering, IEEE Transactions on, 47(8), 997-1009.