Please use this identifier to cite or link to this item: http://hdl.handle.net/11400/4936
Title: Multivariate autoregressive modelling combined with simulated annealing optimisation technique for feature extraction and classification of intracranial current activity
Authors: Βάσιος, Χρήστος
Ματσόπουλος, Γεώργιος Κ.
Βεντούρας, Ερρίκος Μ.
Παπαγεωργίου, Χαράλαμπος
Νικήτα, Κωνσταντίνα Σ.
Contributors: Κονταξάκης, Βασίλειος Π.
Χριστοδούλου, Γιώργος Ν.
Ουζούνογλου, Νικόλαος Κ.
Item type: Conference publication
Conference Item Type: Full Paper
Keywords: Brain phenomena;Cathode ray oscillographs;Φαινόμενα του εγκεφάλου;Κυματομορφές
Subjects: Medicine
Medical technology
Ιατρική
Ιατρικά όργανα και εξοπλισμός
Issue Date: 28-Jan-2015
2003
Publisher: [χ.ό.]
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.
Description: 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
Language: English
Citation: 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.
Conference: 5th International Conference on Neural Networks and Expert Systems in Medicine and HealthCare and 1st International Conference on Computational Intelligence in Medicine and Healthcare
Access scheme: Embargo
License: Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες
URI: http://hdl.handle.net/11400/4936
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