Independent component analysis for source localization of EEG sleep spindle components

dc.contributor.author	Βεντούρας, Ερρίκος Μ.	el
dc.contributor.author	Κτώνας, Περικλής Υ.	el
dc.contributor.author	Τσέκου, Χαρά	el
dc.contributor.author	Παπαρρηγόπουλος, Θωμάς	el
dc.contributor.author	Καλατζής, Ιωάννης	el
dc.date.accessioned	2015-01-29T13:31:39Z
dc.date.available	2015-01-29T13:31:39Z
dc.date.issued	2015-01-29
dc.identifier.uri	http://hdl.handle.net/11400/5066
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.source	http://www.ncbi.nlm.nih.gov/	en
dc.subject	Sleep Spindles
dc.subject	Low-Resolution Brain Electromagnetic Tomography
dc.subject	Άτρακτοι ύπνου
dc.subject	Χαμηλής ανάλυσης του εγκεφάλου ηλεκτρομαγνητική τομογραφί
dc.title	Independent component analysis for source localization of EEG sleep spindle components	en
heal.type	conferenceItem
heal.generalDescription	Proceedings of the 7th International Symposium on Noninvasive Functional Source Imaging of the Brain and Heart & 7th International Conference on Bioelectromagnetism	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	Σολδάτος, Κωνσταντίνος Ρ.	el
heal.identifier.secondary	doi: 10.1155/2010/329436
heal.language	en
heal.access	campus
heal.recordProvider	Τ.Ε.Ι. Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Βιοϊατρικής Τεχνολογίας Τ.Ε.	el
heal.publicationDate	2009
heal.bibliographicCitation	Ventouras, E., Ktonas, P., Tsekou, H., Paparrigopoulos, T., Kalatzis, I., et al. (2007). Independent component analysis for source localization of EEG sleep spindle components. In the 7th International Symposium on Noninvasive Functional Source Imaging of the Brain and Heart & 7th International Conference on Bioelectromagnetism. International Society for Functional Source Imaging & International Society for Bioelectromagnetism: Rome, 2009. Available from: http://www.ncbi.nlm.nih.gov [Accessed 29/05/2010]	en
heal.abstract	Sleep spindles are bursts of quasi-rhythmic activity within the frequency band of 11-16 Hz, characterized by progressively increasing, then gradually decreasing amplitude, present in the sleep electroencephalogram (EEG). The purpose of the present study was to process sleep spindles with Independent Component Analysis (ICA) in order to investigate the possibility of extracting, through visual analysis of the spindle EEG and visual selection of Independent Components (ICs), spindle “components” (SCs) corresponding to separate EEG activity patterns during a spindle, and to investigate the intracerebral current sources underlying these SCs. Current source analysis using Low-Resolution Brain Electromagnetic Tomography (LORETA) was applied to the ICA-reconstructed EEGs. Results indicate that SCs can be extracted by reconstructing the EEG through back-projection of separate groups of ICs, based on temporal and spectral analysis of ICs. The current sources related to the SCs were spatially stable during the evolution of the spindles.	en
heal.publisher	International Society for Functional Source Imaging & International Society for Bioelectromagnetism	en
heal.fullTextAvailability	true
heal.conferenceName	7th International Symposium on Noninvasive Functional Source Imaging of the Brain and Heart & 7th International Conference on Bioelectromagnetism	en
heal.conferenceItemType	full paper