Research Article
Distinguishing Different Emotions Evoked by Music via Electroencephalographic Signals
Table 4
Accuracies for different dimension features subset across different electrode.
| No. | Feature | Selected times | Correlation degree |
| 1 | Alpha peak | 0 | Low | 2 | Alpha average value | 2 | Low | 3 | Alpha variance | 0 | Low | 4 | Alpha centre frequency | 28 | High | 5 | Alpha maximum power | 0 | Low | 6 | Alpha power sum | 0 | Low | 7 | Theta peak | 0 | Low | 8 | Theta average value | 41 | High | 9 | Theta variance | 0 | Low | 10 | Theta centre frequency | 26 | High | 11 | Theta maximum power | 7 | Low | 12 | Theta power sum | 0 | Low | 13 | Beta peak | 0 | Low | 14 | Beta average value | 40 | High | 15 | Beta variance | 0 | Low | 16 | Beta centre frequency | 27 | High | 17 | Beta maximum power | 21 | High | 18 | Beta power sum | 0 | Low | 19 | Singular spectral entropy | 19 | Low | 20 | Entropy of K | 30 | High | 21 | Approximate entropy | 27 | High | 22 | Maximum Lyapunov exponent | 35 | High | 23 | Complexity of C0 | 31 | High | 24 | Sample entropy | 18 | Low | 25 | Spectral entropy | 39 | High | 26 | Lempel–Ziv complexity | 40 | High | 27 | Correlation dimension | 19 | Low |
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