Model comparison for automatic characterization and classification of average ERPs using visual oddball paradigm

Merzagora, A.; Butti, M.; Polikar, R.; Izzetoglu, M.; Bunce, S.; Cerutti, S.; Bianchi, A.; Onaral, B.

doi:10.1016/j.clinph.2008.10.016

Model comparison for automatic characterization and classification of average ERPs using visual oddball paradigm

Merzagora A. C., Butti M., Polikar R., Izzetoglu M., Bunce S., Cerutti S., ...Daha Fazla

CLINICAL NEUROPHYSIOLOGY, cilt.120, sa.2, ss.264-274, 2009 (SCI-Expanded)

Yayın Türü: Makale / Tam Makale
Cilt numarası: 120 Sayı: 2
Basım Tarihi: 2009
Doi Numarası: 10.1016/j.clinph.2008.10.016
Dergi Adı: CLINICAL NEUROPHYSIOLOGY
Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
Sayfa Sayıları: ss.264-274
Anahtar Kelimeler: EEG, ERP, Attention, P300, N200, Oddball, Pattern recognition, Linear discriminant analysis, Support vector machines, Neural networks, Target categorization, SVM, M LP, EVENT-RELATED POTENTIALS, BRAIN-COMPUTER-INTERFACE, ATTENTION-DEFICIT/HYPERACTIVITY DISORDER, PRINCIPAL COMPONENT ANALYSIS, SUSTAINED ATTENTION, SLEEP-DEPRIVATION, MENTAL PROSTHESIS, STIMULUS INTERVAL, P3 AMPLITUDE, ARTIFACTS
İstanbul Üniversitesi Adresli: Hayır

Özet

Objective: To determine whether automated classifiers can be used for correctly identifying target categorization responses from averaged event-related potentials (ERPs) along with identifying appropriate features and classification models for computer-assisted investigation of attentional processes.