Modeling the time-varying microstructure of simulated sleep EEG spindles using time-frequency analysis methods

The time-varying microstructure of sleep spindles may have clinical significance and can be quantified and modeled with a number of techniques. In this paper, sleep spindles were regarded as AM-FM signals modeled by six parameters. The instantaneous envelope (IE) and instantaneous frequency (IF) wav...

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Veröffentlicht in:	2006 International Conference of the IEEE Engineering in Medicine and Biology Society 2006, Vol.2006, p.2438-2441
Hauptverfasser:	Xanthopoulos, P., Golemati, S., Sakkalis, V., Ktonas, P.Y., Zervakis, M., Soldatos, C.R.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms AM-FM signals Analytical models Artificial Intelligence Brain - physiology Brain modeling Computer Simulation Demodulation Diagnosis, Computer-Assisted - methods Electroencephalography Electroencephalography - methods Frequency estimation Humans instantaneous envelope instantaneous frequency Matching pursuit algorithms Microstructure Models, Neurological Parameter estimation Pattern Recognition, Automated - methods Reproducibility of Results Sensitivity and Specificity Sleep spindles Sleep Stages - physiology Time frequency analysis Wavelet transforms
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