Ktonas, P.Y. and Golemati, S. and Xanthopoulos, P. and Sakkalis, V. and Ortigueira, M.D. and Tsekou, H. and Zervakis, M. and Paparrigopoulos, T. and Soldatos, C.R. (2007) Potential dementia biomarkers based on the time-varying microstructure of sleep EEG spindles. [Paper]. In: 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 22-26 Aug. 2007, Lyon, France. URL: http://dx.doi.org/10.1109/IEMBS.2007.4352827. (ISI Web of Science, Citations: 2).
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Official URL: http://dx.doi.org/10.1109/IEMBS.2007.4352827
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.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Divisions: | Departamento de Engenharia Electrotécnica > Controlo e Decisão Centre of Technology and Systems 2007-2010 > CTS0710-A Microelectronics and Telecommunications > CTS0710-A3 Telecommunications and Signal Processing |
| ID Code: | 1869 |
| Deposited By: | Elsa Abrantes |
| Deposited On: | 07 Jan 2010 14:30 |
| Last Modified: | 25 Mar 2011 15:58 |
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