Computational and Mathematical Methods in Medicine / 2014 / Article / Tab 1 / Research Article
An Efficient Frequency Recognition Method Based on Likelihood Ratio Test for SSVEP-Based BCI Table 1 Recognition accuracies (%) for eleven subjects by the three methods with seven different time windows. The better results for each subject are displayed in bold at each time window.
Time Method Subjects Average S1 S2 S3 S4 S5 S6 S7 S8 S9 S10 S11 0.5 s LRT 57.1 69.6 37.9 71.7 83.3 90.0 54.6 37.5 65.4 48.3 82.9 63.5 CCA 42.9 69.2 36.3 64.6 81.3 90.4 49.2 33.8 65.0 47.5 79.2 59.9 LASSO 43.8 46.3 33.8 65.4 60.4 67.5 39.2 31.3 50.8 37.1 42.1 47.0 0.75 s LRT 65.6 83.8 45.6 83.1 91.9 98.1 61.9 45.0 76.9 63.1 93.8 73.5 CCA 65.0 81.9 38.1 81.9 88.8 95.6 61.9 40.0 72.5 60.6 91.9 70.7 LASSO 57.5 61.9 41.3 80.6 82.5 80.0 46.3 30.0 60.6 46.3 53.1 58.2 1 s LRT 71.7 90.8 50.8 88.3 95.0 98.3 74.2 51.7 85.8 72.5 96.7 79.6 CCA 69.2 92.5 44.2 85.8 90.8 97.5 65.8 47.5 87.5 72.5 95.8 77.2 LASSO 64.2 74.2 44.2 87.5 88.3 89.2 48.3 40.8 65.0 56.7 56.7 65.0 1.25 s LRT 82.3 93.8 57.3 91.7 99.0 100.0 80.2 53.1 90.6 69.8 97.9 83.2 CCA 80.2 91.7 47.9 90.6 95.8 99.0 77.1 50.0 91.7 70.8 99.0 81.3 LASSO 75.0 82.3 43.8 90.6 93.8 91.7 56.3 38.5 75.0 60.4 53.1 69.1 1.50 s LRT 88.8 96.3 61.3 93.8 100.0 100.0 82.5 58.8 95.0 76.3 98.8 86.5 CCA 85.0 96.3 53.8 92.5 97.5 100.0 77.5 55.0 93.8 75.0 98.8 84.1 LASSO 71.3 81.3 56.3 95.0 96.3 95.0 56.3 45.0 75.0 65.0 58.8 72.3 1.75 s LRT 88.2 98.5 60.3 97.1 98.5 100.0 85.3 57.4 97.1 89.7 100.0 88.4 CCA 88.2 98.5 54.4 95.6 97.1 100.0 88.2 61.8 95.6 88.2 100.0 88.0 LASSO 75.0 86.8 57.4 100.0 98.5 97.1 57.4 51.5 79.4 72.1 55.9 75.5 2 s LRT 90.0 100.0 65.0 93.3 98.3 100.0 85.0 61.7 98.3 85.0 100.0 88.8 CCA 88.3 98.3 60.0 93.3 98.3 100.0 86.7 65.0 98.3 86.7 100.0 88.6 LASSO 83.3 88.3 65.0 98.3 98.3 98.3 70.0 51.7 81.7 76.7 73.3 80.5