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

Zervakis Michalis, Sakkalis, Vangelis, Xanthopoulos, Petros, Golemati, S, Ktonas, P. Y

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URIhttp://purl.tuc.gr/dl/dias/98E9BC08-4815-40CA-B98E-4034BF1BFC17-
Αναγνωριστικόhttps://doi.org/10.1109/IEMBS.2006.260554-
Γλώσσαen-
Μέγεθος4 pagesen
ΤίτλοςModeling the time-varying microstructure of simulated sleep EEG spindles using time-frequency analysis methodsen
ΔημιουργόςZervakis Michalisen
ΔημιουργόςΖερβακης Μιχαληςel
ΔημιουργόςSakkalis, Vangelisen
ΔημιουργόςXanthopoulos, Petrosen
ΔημιουργόςGolemati, Sen
ΔημιουργόςKtonas, P. Yen
ΕκδότηςInstitute of Electrical and Electronics Engineersen
ΠερίληψηThe 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) waveforms were estimated using four different methods, namely Hilbert Transform (HT), Complex Demodulation (CD), Wavelet Transform (WT) and Matching Pursuit (MP). The six model parameters were subsequently estimated from the IE and IF waveforms. The average error, taking into account the error for each model parameter, was lowest for HT, higher but still less than 10% for CD and MP, and highest (greater than 10%) for WT, for three different spindle model examples. The amount of distortion induced by the use of a given method is also important; distortion was the greatest (0.4 sec) in the case of HT. Therefore, in the case of real spindles, one could utilize CD and MP and, if the spindle duration is more than 1 sec, HT as wellen
ΤύποςΠλήρης Δημοσίευση σε Συνέδριοel
ΤύποςConference Full Paperen
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2015-10-23-
Ημερομηνία Δημοσίευσης2006-
Θεματική ΚατηγορίαProjects, Physicsen
Θεματική Κατηγορίαphysics projectsen
Θεματική Κατηγορίαprojects physicsen
Βιβλιογραφική ΑναφοράP. Xanthopoulos, S. Golemati, V. Sakkalis, P.Y. Ktonas, M. Zervakis," Modeling the time-varying microstructure of simulated sleep EEG spindles using time-frequency analysis methods," in 2006 28th Annual Inter. Conf. of the IEEEE engin. in Medicine and Biology Society, EMBS ,pp.2438 - 2441.doi: 10.1109/IEMBS.2006.260554en

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