Saccadic movement identification using signal processing techniques

dc.contributor.author	Κορδά, Αλεξάνδρα Ι.	el
dc.contributor.author	Ασβεστάς, Παντελής Α.	el
dc.contributor.author	Ματσόπουλος, Γεώργιος Κ.	el
dc.contributor.author	Βεντούρας, Ερρίκος Μ.	el
dc.contributor.author	Κτώνας, Περικλής Υ.	el
dc.date.accessioned	2015-01-29T13:43:14Z
dc.date.issued	2015-01-29
dc.identifier.uri	http://hdl.handle.net/11400/5067
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	Fixation
dc.subject	Visual perception
dc.subject	Στερέωση
dc.subject	Παρακολούθηση των ματιών
dc.title	Saccadic movement identification using signal processing techniques	en
heal.type	conferenceItem
heal.generalDescription	Proceedings of the 4th International Conference on Experiments/Process/System Modelling/Simulation & Optimization	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	Ιατρικά όργανα και εξοπλισμός
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh85048932
heal.keywordURI	http://zbw.eu/stw/descriptor/29818-4
heal.contributorName	Σμύρνης, Νικόλαος Π.	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	2011
heal.bibliographicCitation	Korda, A., Asvestas, P., Matsopoulos, G., Ventouras, E., Ktonas, P., et al. (2011). Saccadic movement identification using signal processing techniques. In the 4th International Conference on Experiments/Process/System Modelling/Simulation & Optimization. University of Patras: Athens, 2011.	en
heal.abstract	The aim of this paper is to present a methodology for the identification of saccades, namely abrupt rapid small movements of both eyes, using oculomotor data. The proposed methodology involves two steps; the first step identifies and removes artifacts (blinks) from the data and the second step identifies the start and end points of the saccades. The methodology was applied on data acquired from 10 subjects that performed certain eye fixation tasks. For each subject, saccades were identified by the proposed methodology as well as by means of visual inspection of the data. The results from the two methodologies (the proposed one and the visual inspection) were consistent up to 84%.	en
heal.publisher	[χ.ό.]	el
heal.fullTextAvailability	true
heal.conferenceName	International Conference on Experiments/Process/System Modelling/Simulation & Optimization	en
heal.conferenceItemType	full paper