Multivariate autoregressive modelling combined with simulated annealing optimisation technique for feature extraction and classification of intracranial current activity

dc.contributor.author	Βάσιος, Χρήστος	el
dc.contributor.author	Ματσόπουλος, Γεώργιος Κ.	el
dc.contributor.author	Βεντούρας, Ερρίκος Μ.	el
dc.contributor.author	Παπαγεωργίου, Χαράλαμπος	el
dc.contributor.author	Νικήτα, Κωνσταντίνα Σ.	el
dc.date.accessioned	2015-01-28T13:57:52Z
dc.date.issued	2015-01-28
dc.identifier.uri	http://hdl.handle.net/11400/4936
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	Brain phenomena
dc.subject	Cathode ray oscillographs
dc.subject	Φαινόμενα του εγκεφάλου
dc.subject	Κυματομορφές
dc.title	Multivariate autoregressive modelling combined with simulated annealing optimisation technique for feature extraction and classification of intracranial current activity	en
heal.type	conferenceItem
heal.generalDescription	Proceedings of the 5th International Conference on Neural Networks and Expert Systems in Medicine and HealthCare and 1st International Conference on Computational Intelligence in Medicine and Healthcare	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.keywordURI	http://id.loc.gov/authorities/subjects/sh85021030
heal.contributorName	Κονταξάκης, Βασίλειος Π.	el
heal.contributorName	Χριστοδούλου, Γιώργος Ν.	el
heal.contributorName	Ουζούνογλου, Νικόλαος Κ.	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	2003
heal.bibliographicCitation	Vasios, C., Matsopoulos, G., Ventouras, E., Papageorgiou, C., Nikita, K., et al. (2003). Multivariate autoregressive modelling combined with simulated annealing optimisation technique for feature extraction and classification of intracranial current activity. In the 5th International Conference on Neural Networks and Expert Systems in Medicine and HealthCare and 1st International Conference on Computational Intelligence in Medicine and Healthcare. pp. 73-78. Sheffield, 2003.	en
heal.abstract	The inversion of late Event-Related Potentials to intracranial current source activities provides a method to observe brain phenomena related to information processing mechanisms. The use of current source waveforms, as inputs in classification systems, may provide robust performance for Decision Support Systems in Psychiatry. In the present work a new method for the classification of intracranial current sources is proposed, combining the Multivariate Autoregressive model with the Simulated Annealing technique, in order to extract optimum features, in terms of the classification rate. The classification is implemented with a three-layer NN trained with the back-propagation algorithm. The system was applied in the classification of normal controls and schizophrenic patients, providing classification rates of up to 90%. Furthermore, the clustering of intracranial source locations providing best classification performance may indicate relationships between the brain areas corresponding to these locations and pathological mechanisms.	en
heal.publisher	[χ.ό.]	el
heal.fullTextAvailability	true
heal.conferenceName	5th International Conference on Neural Networks and Expert Systems in Medicine and HealthCare and 1st International Conference on Computational Intelligence in Medicine and Healthcare	en
heal.conferenceItemType	full paper