Implementation of automatic feature selection methods for BCI realization

Implementation of automatic feature selection methods for BCI realization

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 s...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Majkowski, A., Kolodziej, M., Rak, R. J.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Brain computer interfaces
Correlation
Electrodes
Electroencephalography
Feature extraction
Scalp
Testing
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Beschreibung
Zusammenfassung: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.
ISSN:1091-5281
DOI:10.1109/I2MTC.2012.6229340