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Ιδρυματικό Αποθετήριο [SANDBOX]
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| URI | http://purl.tuc.gr/dl/dias/FFFCCE6A-66F8-4782-9D7F-5F9BF087B4F8 | - |
| Αναγνωριστικό | https://doi.org/10.1109/IEMBS.2007.4352827 | - |
| Γλώσσα | en | - |
| Μέγεθος | 4 pages | en |
| Τίτλος | Potential dementia biomarkers based on the time-varying microstructure of sleep EEG spindles | en |
| Δημιουργός | Zervakis Michalis | en |
| Δημιουργός | Ζερβακης Μιχαλης | el |
| Δημιουργός | Golemati, S | en |
| Δημιουργός | H. Tsekou | en |
| Δημιουργός | Paparrigopoulos, T | en |
| Εκδότης | Institute of Electrical and Electronics Engineers | en |
| Περίληψη | 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. | en |
| Τύπος | Αφίσα σε Συνέδριο | el |
| Τύπος | Conference Poster | en |
| Άδεια Χρήσης | http://creativecommons.org/licenses/by/4.0/ | en |
| Ημερομηνία | 2015-10-23 | - |
| Ημερομηνία Δημοσίευσης | 2007 | - |
| Θεματική Κατηγορία | Clinical laboratory technicians | en |
| Θεματική Κατηγορία | Medical laboratory technicians | en |
| Θεματική Κατηγορία | medical technologists | en |
| Θεματική Κατηγορία | clinical laboratory technicians | en |
| Θεματική Κατηγορία | medical laboratory technicians | en |
| Βιβλιογραφική Αναφορά | P.Y. Ktonas, S. Golemati, H. Tsekou, T. Paparrigopoulos, C.R.Soldatos ," Potential dementia biomarkers based on the time-varying microstructure of sleep EEG spindles ," in 2007 29th Annual Inter. Conf. of the IEEE Eng. in Medicine and Biology Society, EMBS ,pp.2464 - 2467.doi:10.1109/IEMBS.2007.4352827 | en |
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