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 |
|
|