Potential dementia biomarkers based on the time-varying microstructure of sleep EEG spindlesPotential dementia biomarkers based on the time-varying microstructure of sleep EEG spindles Αφίσα σε Συνέδριο Conference Poster 2015-10-232007enThe 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. http://creativecommons.org/licenses/by/4.0/2464 - 246729th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS Zervakis Michalis Ζερβακης Μιχαλης Golemati, S H. Tsekou Paparrigopoulos, T Institute of Electrical and Electronics Engineers Clinical laboratory technicians Medical laboratory technicians medical technologists clinical laboratory technicians medical laboratory technicians