Characterization of sleep spindles using higher order statistics and spectra

Tayfun Akgul; Mingui Sun; Robert J. Sclabassi; A. Enis Cetin

doi:10.1109/10.855926

Characterization of sleep spindles using higher order statistics and spectra

Tayfun Akgul
, Mingui Sun
, Robert J. Sclabassi
, A. Enis Cetin

Araştırma sonucu: Dergiye katkı › Makale › bilirkişi

42 Atıf (Scopus)

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 occurring in the observed EEG.

Orijinal dil	İngilizce
Sayfa (başlangıç-bitiş)	997-1009
Sayfa sayısı	13
Dergi	IEEE Transactions on Biomedical Engineering
Hacim	47
Basın numarası	8
DOI'lar	https://doi.org/10.1109/10.855926
Yayın durumu	Yayınlandı - Ağu 2000
Harici olarak yayınlandı	Evet

Finansman

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.

Finansörler
TÜBİTAK-BAYG
National Institutes of Health
Whitaker Foundation
Çukurova Üniversitesi

Belgeye Erişim

10.1109/10.855926

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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title = "Characterization of sleep spindles using higher order statistics and spectra",

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.",

keywords = "Bispectrum, Cumulants, EEG, Higher order spectra, Higher order statistics, Sleep spindles, Sum-of-cumulants",

author = "Tayfun Akgul and Mingui Sun and Sclabassi, \{Robert J.\} and Cetin, \{A. Enis\}",

year = "2000",

month = aug,

doi = "10.1109/10.855926",

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AU - Sclabassi, Robert J.

AU - Cetin, A. Enis

PY - 2000/8

Y1 - 2000/8

N2 - 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.

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KW - Bispectrum

KW - Cumulants

KW - EEG

KW - Higher order spectra

KW - Higher order statistics

KW - Sleep spindles

KW - Sum-of-cumulants

UR - https://www.scopus.com/pages/publications/0034254548

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JO - IEEE Transactions on Biomedical Engineering

JF - IEEE Transactions on Biomedical Engineering

IS - 8

ER -

Characterization of sleep spindles using higher order statistics and spectra

Özet

Finansman

Belgeye Erişim

Diğer Dosyalar ve Linkler

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