Neural networks for simulating EEG wave components

dc.contributor.author	Βεντούρας, Ερρίκος Μ.	el
dc.contributor.author	Παπαγεωργίου, Χαράλαμπος	el
dc.contributor.author	Ουζούνογλου, Νικόλαος Κ.	el
dc.contributor.author	Ραμπαβίλας, Ανδρέας Ν.	el
dc.contributor.author	Στεφανής, Κωνσταντίνος Ν.	el
dc.date.accessioned	2015-02-01T20:06:51Z
dc.date.available	2015-02-01T20:06:51Z
dc.date.issued	2015-02-01
dc.identifier.uri	http://hdl.handle.net/11400/5376
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	Electroencephalography
dc.subject	Neural networks (Computer science)
dc.subject	Ηλεκτροεγκεφαλογράφημα
dc.subject	Τεχνητά νευρωνικά δίκτυα
dc.title	Neural networks for simulating EEG wave components	en
heal.type	conferenceItem
heal.secondaryTitle	signal processing dysfunctions related to abnormal wave production	en
heal.generalDescription	Proceedings of the 10th National Conference with International Participation on Metrology and Metrology Assurance	en
heal.classification	Medicine
heal.classification	Medical technology
heal.classification	Ιατρική
heal.classification	Ιατρική τεχνολογία
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-Ιατρική τεχνολογία
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh85042138
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh90001937
heal.language	en
heal.access	campus
heal.recordProvider	Τ.Ε.Ι. Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Βιοϊατρικής Τεχνολογίας Τ.Ε.	el
heal.publicationDate	2000
heal.bibliographicCitation	Ventouras, E., Papageorgiou, C., Uzunoglu, N., Rabavilas, A. and Stefanis, C. (2000). Neural networks for simulating EEG wave components: signal processing dysfunctions related to abnormal wave production. In the 10th National Conference with International Participation on Metrology and Metrology Assurance. pp.199-202. Technical University of Sophia: Sozopol, Bulgaria, 2000.	en
heal.abstract	The simulation of Evoked Potentials, which are a special case of EEG recordings, is possible when models are used for describing the underlying brain generators. In the present work an artificial neural network model is presented whose neurons possess the ability to simulate the generation of EEG wave components, related to cognitive brain mechanisms. External signals are processed in a parallel fashion by the neurons, simulating a wide range of wave components, successfully matching laboratory-measured potentials. Dysfunction of the signal processing mechanism of the network are analyzed, producing abnormal waveforms and therefore suggesting biological analogies with pathological brain function.	en
heal.publisher	Technical University of Sophia	en
heal.fullTextAvailability	true
heal.conferenceName	National Conference with International Participation on Metrology and Metrology Assurance	en
heal.conferenceItemType	full paper