EEG sleep spindle processing with independent components analysis

dc.contributor.author	Αλεβίζος, Ιωάννης	el
dc.contributor.author	Κτώνας, Περικλής Υ.	el
dc.contributor.author	Τσέκου, Χαρά	el
dc.contributor.author	Παπαρρηγόπουλος, Θωμάς	el
dc.contributor.author	Σολδάτος, Κωνσταντίνος Ρ.	el
dc.date.accessioned	2015-01-29T12:18:22Z
dc.date.issued	2015-01-29
dc.identifier.uri	http://hdl.handle.net/11400/5057
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.subject	Sleep spindles
dc.subject	Sleep electroencephalogram
dc.subject	Άτρακτοι ύπνου
dc.subject	Υπνικό ηλεκτροεγκεφαλογράφημα
dc.title	EEG sleep spindle processing with independent components analysis	en
heal.type	conferenceItem
heal.generalDescription	Proceedings of the 5th European Symposium on Biomedical Engineering	en
heal.classification	Medicine
heal.classification	Medical technology
heal.classification	Ιατρική
heal.classification	Ιατρικά όργανα και εξοπλισμός
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh00006614
heal.classificationURI	http://skos.um.es/unescothes/C02465
heal.classificationURI	N/A-Ιατρική
heal.classificationURI	N/A-Ιατρικά όργανα και εξοπλισμός
heal.contributorName	Νικηφορίδης, Γεώργιος Χ.	el
heal.contributorName	Βεντούρας, Ερρίκος Μ.	el
heal.dateAvailable	10000-01-01
heal.language	en
heal.access	forever
heal.recordProvider	Τ.Ε.Ι. Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Βιοϊατρικής Τεχνολογίας Τ.Ε.	el
heal.publicationDate	2006
heal.bibliographicCitation	Alevizos, I., Ktonas, P., Tsekou, H., Paparrigopoulos, T., Soldatos, C., et al. (2006). EEG sleep spindle processing with independent components analysis. In the 5th European Symposium on Biomedical Engineering. University of Patras: Patras, 2006.	en
heal.abstract	Sleep spindles are bursts of rhythmic activity characterized by progressively increasing, then gradually decreasing amplitude, present predominantly in stages 2, 3 and 4 of the sleep electroencephalogram (EEG). Topographic analyses of sleep spindle incidence suggested the existence of two distinct sleep spindle types, “slow” and “fast” spindles at approximately 12 and 14 Hz respectively. There are indications that there exist at least two functionally separated spindle generators, corresponding to each frequency spectrum class. The purpose of the present study was to process sleep spindles with Independent Component Analysis (ICA) in order to investigate the possibility of extracting, in the ICA-reconstructed EEG, spindle “components” corresponding to separate EEG activity patterns, and to investigate the sources underlying these spindle components. Using 8-channel EEG recordings of sleep spindles of a single subject, source analysis using Low-Resolution Brain Electromagnetic Tomography (LORETA) was applied on the reconstructed EEGs. Results indicate separability and stability of sources related to sleep spindle components reconstructed from separate groups of Independent Components (ICs).	en
heal.publisher	[χ.ό.]	el
heal.fullTextAvailability	true
heal.conferenceName	European Symposium on Biomedical Engineering	en
heal.conferenceItemType	full paper