Expert signal processing system supporting diagnosis and therapeutic assessment in Psychiatry

dc.contributor.author	Βεντούρας, Ερρίκος Μ.	el
dc.contributor.author	Παπαγεωργίου, Χαράλαμπος	el
dc.contributor.author	Ασβεστάς, Παντελής Α.	el
dc.contributor.author	Ματσόπουλος, Γεώργιος Κ.	el
dc.contributor.author	Ουζούνογλου, Νικόλαος Κ.	el
dc.date.accessioned	2015-02-01T19:57:54Z
dc.date.available	2015-02-01T19:57:54Z
dc.date.issued	2015-02-01
dc.identifier.uri	http://hdl.handle.net/11400/5374
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
dc.subject	Ηλεκτροεγκεφαλογράφημα
dc.subject	Τεχνητά νευρωνικά δίκτυα
dc.title	Expert signal processing system supporting diagnosis and therapeutic assessment in Psychiatry	en
heal.type	conferenceItem
heal.generalDescription	Proceedings of the 10th National Conference with International Participation on Metrology and Metrology Assurance	en
heal.classification	Medicine
heal.classification	Psychiatry
heal.classification	Ιατρική
heal.classification	Ψυχιατρική
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh00006614
heal.classificationURI	http://skos.um.es/unescothes/C03187
heal.classificationURI	N/A-Ιατρική
heal.classificationURI	N/A-Ψυχιατρική
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh85042138
heal.keywordURI	http://lod.nal.usda.gov/12606
heal.contributorName	Χριστοδούλου, Γιώργος Ν.	el
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., Asvestas, P., Matsopoulos, G., Uzunoglu, N., et al. (2000). Expert signal processing system supporting diagnosis and therapeutic assessment in psychiatry. In the 10th National Conference with International Participation on Metrology and Metrology Assurance. pp.203-206. Technical University of Sofia: Sozopol, Bulgaria, 2000.	en
heal.abstract	In the present work an integrated signal processing expert system is presented, which provides support in the psychiatric field. Multichannel EEG recordings, focusing on Evoked Potentials (EPs) are processed by novel techniques, including Artificial Neural Networks (ANN) and noise resistant inversion algorithms, in order to provide a reliable classification system including five categories of psychopathological entities. This will enhance the diagnostic process as well as the assessment of the therapeutic interventions, having in mind the acute lack of objective numerical markers for psychiatric clinical applications.	en
heal.publisher	Technical University of Sofia	en
heal.fullTextAvailability	true
heal.conferenceName	National Conference with International Participation on Metrology and Metrology Assurance	en
heal.conferenceItemType	full paper