Table 1 The classification accuracy of the proposed algorithm compared to the others
Subject ID | Classification accuracy (%) of only WPT features | Classification accuracy (%) of selected WPT features by Shannon theory | Classification accuracy (%) of selected WPT features by mutual information theory | Classification accuracy (%) of selected WPT features by Rényi’s min-entropy algorithm |
|---|---|---|---|---|
1 | 57 | 60 | 68 | 82 |
2 | 52 | 65 | 76 | 86 |
3 | 70 | 50 | 71 | 78 |
4 | 70 | 65 | 72 | 73 |
5 | 43 | 62 | 74 | 79 |
6 | 64 | 67 | 71 | 81 |
7 | 48 | 53 | 76 | 75 |
8 | 62 | 62 | 72 | 79 |
9 | 69 | 64 | 72 | 75 |
Average ± std | 59.44 ± 10.02 | 60.88 ± 5.75 | 72.44 ± 2.55 | 78.66 ± 4.03 |