IMPROVING THE ACCURACY OF MOTOR IMAGERY-BASED EEG SIGNAL CLASSIFICATION BY MEANS OF THE IDENTIFICATION AND ELIMINATION OF OUTLIERS
Motor imagery-based EEG signal faces a problem with accuracy for more than two-classes classification. By applying the power spectrum, the beginning idea of classification features unit, it is difficult to obtain a classification accuracy of more than 70%. Previous studies have examined the incre...
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/52306 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |