Details

Autor(en) / Beteiligte

• Bobe, Anatoly S.
• Alekseev, Andrey S.
• Komarova, Maria V.
• Fastovets, Dmitry

Titel

Single-trial ERP Feature Extraction and Classification for Visual Object Recognition Task

Ist Teil von

• 2018 Engineering and Telecommunication (EnT-MIPT), 2018, p.188-192

Ort / Verlag

IEEE

Erscheinungsjahr

2018

Quelle

IEEE/IET Electronic Library

Beschreibungen/Notizen

• This paper describes a classification method of brain signals measured from a subject during visual stimuli presentation. The method is based on exploring the features of visual event related potentials (VERP) in both time and spatial domains. Independent component analysis (ICA) is used for extracting the basic phase-amplitude features. A method for artifact rejection is proposed for excluding the noisy trials. A category-level classifier based on a neural network is trained and its performance on a publicly available database is evaluated and analyzed.