DocumentCode :
2479488
Title :
Implementation of automatic feature selection methods for BCI realization
Author :
Majkowski, Andrzej ; Kolodziej, Marcin ; Rak, Remigiusz J.
Author_Institution :
Inst. of Theor. of Electr. Eng. & Meas. & Inf. Syst., Warsaw Univ. of Technol., Warsaw, Poland
fYear :
2012
fDate :
13-16 May 2012
Firstpage :
1286
Lastpage :
1289
Abstract :
The main task of brain-computer interface is to translate signals generated by neurons of the brain into commands. For the effective operation of BCI, efficient methods of feature selection of EEG signal are needed. In this article authors propose the use of correlation and t-statistics to feature selection.
Keywords :
brain-computer interfaces; electroencephalography; feature extraction; neural nets; statistics; BCI realization; EEG signal; automatic feature selection method; brain-computer interface; neurons; t-statistics; Brain computer interfaces; Correlation; Electrodes; Electroencephalography; Feature extraction; Scalp; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation and Measurement Technology Conference (I2MTC), 2012 IEEE International
Conference_Location :
Graz
ISSN :
1091-5281
Print_ISBN :
978-1-4577-1773-4
Type :
conf
DOI :
10.1109/I2MTC.2012.6229340
Filename :
6229340
Link To Document :
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