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., ...More

CLINICAL NEUROPHYSIOLOGY, vol.120, no.2, pp.264-274, 2009 (SCI-Expanded) identifier

  • Publication Type: Article / Article
  • Volume: 120 Issue: 2
  • Publication Date: 2009
  • Doi Number: 10.1016/j.clinph.2008.10.016
  • Journal Name: CLINICAL NEUROPHYSIOLOGY
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.264-274
  • Keywords: 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
  • Istanbul University Affiliated: No

Abstract

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.