Potential dementia biomarkers based on the time-varying microstructure of sleep EEG spindles
Ktonas, P.Y.
Golemati, S.
Tsekou, H.
Paparrigopoulos, T.
Soldatos, C.R.
Xanthopoulos, P.
Sakkalis, V.
Zervakis, M.
Ortigueira, M.D.
Nat. Kapodistrian Univ. of Athens, Athens
This paper appears in: Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE Publication Date: 22-26 Aug. 2007
On page(s):
2464
- 2467
Location: Lyon
ISSN: 1557-170X
ISBN: 978-1-4244-0787-3
Digital Object Identifier: 10.1109/IEMBS.2007.4352827
Current Version Published: 2007-10-22
Abstract
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 dynamics between spindles from dementia subjects and spindles from controls.
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