Characterization of sleep spindles using higher order statistics and spectra

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

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, cilt.47, sa.8, ss.997-1009, 2000 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 47 Sayı: 8
  • Basım Tarihi: 2000
  • Doi Numarası: 10.1109/10.855926
  • Dergi Adı: IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.997-1009
  • İstanbul Teknik Üniversitesi Adresli: Hayır

Özet

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.