Independent components of sleep spindles

dc.contributor.author	Βεντούρας, Ερρίκος Μ.	el
dc.contributor.author	Αλεβίζος, Ιωάννης	el
dc.contributor.author	Κτώνας, Περικλής Υ.	el
dc.contributor.author	Τσέκου, Χαρά	el
dc.contributor.author	Παραρρηγόπουλος, Θωμάς	el
dc.date.accessioned	2015-01-26T08:06:18Z
dc.date.available	2015-01-26T08:06:18Z
dc.date.issued	2015-01-26
dc.identifier.uri	http://hdl.handle.net/11400/4736
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	Electroencephalography
dc.subject	Άτρακτοι ύπνου
dc.subject	Ηλεκτροεγκεφαλογράφημα
dc.title	Independent components of sleep spindles	en
heal.type	conferenceItem
heal.generalDescription	Proceedings of the 29th International Conference of the IEEE Engineering in Medicine & Biology Society	en
heal.classification	Medicine
heal.classification	Ιατρική
heal.classification	Internal medicine
heal.classification	Εσωτερική παθολογία
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh00006614
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85067347
heal.classificationURI	N/A-Ιατρική
heal.classificationURI	N/A-Εσωτερική παθολογία
heal.keywordURI	http://lod.nal.usda.gov/19230
heal.contributorName	Καλατζής, Ιωάννης	el
heal.contributorName	Σολδάτος, Κωνσταντίνος Ρ.	el
heal.contributorName	Νικηφορίδης, Γεώργιος Χ.	el
heal.identifier.secondary	ISBN 1-4244-0788-5
heal.language	en
heal.access	campus
heal.recordProvider	Τ.Ε.Ι. Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Βιοϊατρικής Τεχνολογίας Τ.Ε.	el
heal.publicationDate	2007
heal.bibliographicCitation	Ventouras, E., Alevizos, I., Ktonas, P., Tsekou, h., Paparrigopoulos, T., et al. (2007). Independent components of sleep spindles. In the 29th International Conference of the IEEE Engineering in Medicine & Biology Society. pp.4002-4005. IEEE Engineering in Medicine and Biology Society: Lyon, 23th-26th August 2007.	el
heal.abstract	Sleep spindles are considered a hallmark of stage 2 of the sleep electroencephalogram (EEG) and are used both for sleep staging and for clinical studies of pharmacological agents. Analyses of sleep spindle topography, as well as intracranial source investigations provided evidence for the existence of two distinct sleep spindle types, “slow” and “fast” spindles at approximately 12 and 14 Hz, respectively. The aim of the present study was to apply Independent Component Analysis (ICA) to sleep spindles, for examining the possibility of extracting, through visual analysis of the spindle EEG and selection of Independent Components (ICs), spindle “components” corresponding to separate EEG activity patterns, and to investigate the sources underlying these spindle components. The inverse electromagnetic problem was solved using Low-Resolution Brain Electromagnetic Tomography (LORETA). Results indicate separability and stability of sources related to sleep spindle components reconstructed from separate groups of ICs.	en
heal.publisher	IEEE	en
heal.fullTextAvailability	true
heal.conferenceName	International Conference of the IEEE Engineering in Medicine & Biology Society	en
heal.conferenceItemType	full paper