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...
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| creator | Majkowski, A. Kolodziej, M. Rak, R. J. |
| description | 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. |
| doi_str_mv | 10.1109/I2MTC.2012.6229340 |
| format | Conference Proceeding |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Brain computer interfaces Correlation Electrodes Electroencephalography Feature extraction Scalp Testing |
| title | Implementation of automatic feature selection methods for BCI realization |
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