Research Article
A Fused Multidimensional EEG Classification Method Based on an Extreme Tree Feature Selection
Table 2
Classification accuracy for IMUT data using different feature extraction methods.
| Dataset | Experimental dataset | IMUT data | a | b | c | d | e | f |
| AR + SVM | 0.660 | 0.641 | 0.575 | 0.486 | 0.720 | 0.721 | CSP + SVM | 0.638 | 0.567 | 0.656 | 0.569 | 0.511 | 0.778 | DWT + SVM | 0.558 | 0.630 | 0.498 | 0.518 | 0.650 | 0.780 | CSP + DWT + SVM | 0.613 | 0.763 | 0.825 | 0.613 | 0.625 | 0.800 | AR + DWT + SVM | 0.725 | 0.800 | 0.513 | 0.600 | 0.825 | 0.838 | AR + CSP + SVM | 0.675 | 0.850 | 0.788 | 0.525 | 0.813 | 0.875 | AR + CSP + DWT + SVM | 0.700 | 0.837 | 0.812 | 0.600 | 0.825 | 0.875 |
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