Table 3.
Letter accuracy of single-trial detection for the 22 subjects for xDAWN, METS & SEWS-1, and METS & SEWS-2 algorithms.
| Subject | METS & SEWS-1 | METS & SEWS-2 | xDAWN |
|---|---|---|---|
| s1 | 50.00 | 49.52 | 49.05 |
| s2 | 66.67 | 64.31 | 60.78 |
| s3 | 58.75 | 59.17 | 60.42 |
| s4 | 35.56 | 35.56 | 36.19 |
| s5 | 70.28 | 71.39 | 71.11 |
| s6 | 38.15 | 40.00 | 31.85 |
| s7 | 36.67 | 34.44 | 24.44 |
| s8 | 68.52 | 72.59 | 67.78 |
| s9 | 62.38 | 62.38 | 55.24 |
| s10 | 44.76 | 43.81 | 44.76 |
| s11 | 50.88 | 48.77 | 41.40 |
| s12 | 61.67 | 58.33 | 56.11 |
| s13 | 45.56 | 46.30 | 47.78 |
| s14 | 52.08 | 52.50 | 43.75 |
| s15 | 46.67 | 43.81 | 28.10 |
| s16 | 76.41 | 78.97 | 61.54 |
| s17 | 80.00 | 78.57 | 80.00 |
| s18 | 57.68 | 58.26 | 58.55 |
| s19 | 74.00 | 74.33 | 73.67 |
| s20 | 39.65 | 39.30 | 36.49 |
| s21 | 46.67 | 47.78 | 30.28 |
| s22 | 68.89 | 70.00 | 63.33 |
The best results are highlighted in bold.