Institutional Repository
Technical University of Crete
Technical University of Crete
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| URI | http://purl.tuc.gr/dl/dias/B9C0A173-8271-43DD-9EAB-6246DC3EFA2A | - |
| Identifier | https://doi.org/10.1016/j.jneumeth.2009.09.001 | - |
| Identifier | https://www.sciencedirect.com/science/article/pii/S0165027009004920?via%3Dihub | - |
| Language | en | - |
| Extent | 10 pages | en |
| Title | Time-frequency analysis methods to quantify the time-varying microstructure of sleep EEG spindles: possibility for dementia biomarkers? | en |
| Creator | Zervakis Michail | en |
| Creator | Ζερβακης Μιχαηλ | el |
| Creator | Sakkalis, Vangelis | en |
| Creator | Economou, Nicolas 1953-1993 | en |
| Creator | Ktonas, P. Y | en |
| Creator | Soldatos, Christos | en |
| Creator | Xanthopoulos, Petros | en |
| Creator | Paparrigopoulos, T | en |
| Creator | Golemati, S | en |
| Creator | Ortigueira, Manuel Duarte | en |
| Creator | Tsekou H. | en |
| Creator | Bonakis A. | en |
| Creator | Theodoropoulos P. | en |
| Creator | Vassilopoulos D. | en |
| Creator | Papageorgiou S. G. | en |
| Publisher | Elsevier | en |
| Content Summary | The time-varying microstructure of sleep EEG spindles may have clinical significance in dementia studies and can be quantified with a number of techniques. In this paper, real and simulated sleep spindles were regarded as AM/FM signals modeled by six parameters that define the instantaneous envelope (IE) and instantaneous frequency (IF) waveforms for a sleep spindle. These parameters were estimated using four different methods, namely the Hilbert transform (HT), complex demodulation (CD), matching pursuit (MP) and wavelet transform (WT). The average error in estimating these parameters was lowest for HT, higher but still less than 10% for CD and MP, and highest (greater than 10%) for WT. The signal distortion induced by the use of a given method was greatest in the case of HT and MP. These two techniques would necessitate the removal of about 0.4 s from the spindle data, which is an important limitation for the case of spindles with duration less than 1 s. Although the CD method may lead to a higher error than HT and MP, it requires a removal of only about 0.23 s of data. An application of this sleep spindle parameterization via the CD method is proposed, in search of efficient EEG-based biomarkers in dementia. Preliminary results indicate that the proposed parameterization may be promising, since it can quantify specific differences in IE and IF characteristics between sleep spindles from dementia subjects and those from aged controls. | en |
| Type of Item | Peer-Reviewed Journal Publication | en |
| Type of Item | Δημοσίευση σε Περιοδικό με Κριτές | el |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2015-10-26 | - |
| Date of Publication | 2009 | - |
| Subject | Basic medical sciences | en |
| Subject | Basic sciences, Medical | en |
| Subject | Biomedical sciences | en |
| Subject | Health sciences | en |
| Subject | Preclinical sciences | en |
| Subject | Sciences, Medical | en |
| Subject | medical sciences | en |
| Subject | basic medical sciences | en |
| Subject | basic sciences medical | en |
| Subject | biomedical sciences | en |
| Subject | health sciences | en |
| Subject | preclinical sciences | en |
| Subject | sciences medical | en |
| Subject | Sleep spindles | en |
| Subject | AM/FM signals | en |
| Subject | Instantaneous envelope | en |
| Subject | Instantaneous frequency | en |
| Subject | Biomarkers | en |
| Subject | Dementia | en |
| Bibliographic Citation | P. Y. Ktonas, S. Golemati, P. Xanthopoulos, V. Sakkalis, M. D. Ortigueira, H. Tsekou, M. Zervakis, T. Paparrigopoulos, A. Bonakis, N. T. Economou, P. Theodoropoulos, S. G. Papageorgiou, D. Vassilopoulos and C. R. Soldatos ,"Time–frequency analysis methods to quantify the time-varying microstructure of sleep EEG spindles: possibility for dementia biomarkers?," J. of Neur. Methods, vol. 185, no. 1, pp. 133–142, Dec. 2009. doi: 10.1016/j.jneumeth.2009.09.001 | en |
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