Optimization of the time window of signal processing in interface between brain and computer

Marcin Kołodziej , Andrzej Majkowski , Remigiusz Rak

Abstract

BCI interfaces allow direct communication between the brain and the computer. The author's idea is to try to identify (classify) one-second windows of EEG signal associated with doing by a person a certain mental task. During the experiments it turned out that the classification process is highly influenced by the width of the windows and the way they overlap. The aim of this paper is to identify the best strategies for selection of time windows of EEG signal for the purposes of feature extraction and classifier learning.

Author Marcin Kołodziej (FoEE / ITEEMIS) - [Instytut Elektrotechniki, MNiSW [80]]
Marcin Kołodziej,,
- The Institute of the Theory of Electrical Engineering, Measurement and Information Systems
- Instytut Elektrotechniki
, Andrzej Majkowski (FoEE / ITEEMIS)
Andrzej Majkowski,,
- The Institute of the Theory of Electrical Engineering, Measurement and Information Systems
, Remigiusz Rak (FoEE / ITEEMIS) - [Instytut Elektrotechniki]
Remigiusz Rak,,
- The Institute of the Theory of Electrical Engineering, Measurement and Information Systems
-
Journal seriesPrzegląd Elektrotechniczny, ISSN 0033-2097, (A 15 pkt)
Issue year2011
Vol87
Pages142-144
Publication size in sheets0.3
ASJC Classification2208 Electrical and Electronic Engineering
Languageen angielski
Score (nominal)15
Score sourcejournalList
Publication indicators Scopus Citations = 2; WoS Citations = 0; GS Citations = 2.0; Scopus SNIP (Source Normalised Impact per Paper): 2011 = 0.531; WoS Impact Factor: 2011 = 0.244 (2)
Citation count*2 (2020-01-25)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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