Optimization of the time window of signal processing in interface between brain and computer
Marcin Kołodziej , Andrzej Majkowski , Remigiusz Rak
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.
|Journal series||Przegląd Elektrotechniczny, ISSN 0033-2097, (A 15 pkt)|
|Publication size in sheets||0.3|
|Publication indicators||= 2; = 0; = 2.0; : 2011 = 0.531; : 2011 = 0.244 (2)|
|Citation count*||2 (2020-01-25)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.