Potential dementia biomarkers based on the time-varying microstructure of sleep EEG spindles

Ζερβακης Μιχαλης(http://users.isc.tuc.gr/~mzervakis)
Zervakis Michalis(http://users.isc.tuc.gr/~mzervakis)
Golemati, S(http://viaf.org/viaf/305617952)
H. Tsekou ()
Paparrigopoulos, T(http://viaf.org/viaf/305620337)

DOI

10.1109/IEMBS.2007.4352827

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Abstract

Summarization: The time-varying microstructure of sleep EEG spindles may have clinical significance in dementia studies. In this work, the sleep spindle is modeled as an AM-FM signal and parameterized in terms of six parameters, three quantifying the instantaneous envelope (IE) and three quantifying the instantaneous frequency (IF) of the spindle model. The IE and IF waveforms of sleep spindles from patients with dementia and normal controls were estimated using the time-frequency technique of complex demodulation (CD). Sinusoidal curve-fitting using a matching pursuit (MP) approach was applied to the IE and IF waveforms for the estimation of the six model parameters. Specific differences were found in sleep spindle instantaneous frequency ...