Characterization of sleep spindles using higher order statistics and spectra

@article{Akgl2000CharacterizationOS,
  title={Characterization of sleep spindles using higher order statistics and spectra},
  author={Tayfun Akg{\"u}l and Mingui Sun and Robert J. Sclabassi and A. Enis Çetin},
  journal={IEEE Transactions on Biomedical Engineering},
  year={2000},
  volume={47},
  pages={997-1009}
}
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… CONTINUE READING

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