Characterization of sleep spindles using higher order statistics and spectra


Akgul T. , SUN M., SCLABASSI R., CETIN A.

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, vol.47, no.8, pp.997-1009, 2000 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 47 Issue: 8
  • Publication Date: 2000
  • Doi Number: 10.1109/10.855926
  • Title of Journal : IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
  • Page Numbers: pp.997-1009

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 occuring in the observed EEG.