Research Article
Motor Imagery EEG Classification Based on Decision Tree Framework and Riemannian Geometry
Table 5
Comparison of classification accuracy (%) for L/R task with other published results using OVO scheme applied on BCI competition dataset 2A.
| Subject | A01 | A02 | A03 | A04 | A05 | A06 | A07 | A08 | A09 | Mean | Std | p value |
| Method 2 | 90.95 | 67.29 | 94.52 | 63.87 | 64.48 | 70.33 | 70.29 | 97.95 | 95.00 | 79.41 | 13.85 | ā | Reference [43] | 91.49 | 60.56 | 94.16 | 76.72 | 58.52 | 68.52 | 78.57 | 97.01 | 93.85 | 79.93 | 14.13 | 0.95 | Reference [8] | 88.89 | 59.03 | 90.28 | 78.47 | 62.50 | 75.00 | 72.92 | 93.06 | 87.50 | 78.63 | 11.63 | 0.90 | Reference [44] | 88.89 | 51.39 | 96.53 | 70.14 | 54.86 | 71.53 | 81.25 | 93.75 | 93.75 | 78.01 | 16.04 | 0.85 | Reference [45] | 90.28 | 54.17 | 93.75 | 64.58 | 57.64 | 65.28 | 62.50 | 90.97 | 85.42 | 73.84 | 15.02 | 0.45 |
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