Research Article
A Synchronized Hybrid Brain-Computer Interface System for Simultaneous Detection and Classification of Fusion EEG Signals
Table 1
The accuracy and STD of the same input signals from different classifiers for the six subjects.
| | S1 (%) | S2 (%) | S3 (%) | S4 (%) | S5 (%) | S6 (%) | Mean (%) | STD (%) |
| MI | SVM | 82.55 | 85.47 | 81.66 | 81.23 | 84.26 | 81.02 | 82.70 | 1.64 | | CNN | 89.85 | 94.29 | 91.71 | 90.20 | 93.05 | 91.26 | 91.73 | 1.55 |
| SSVEP | CCA | 84.52 | 88.62 | 87.00 | 89.25 | 84.69 | 87.21 | 86.88 | 1.78 | | LASSO | 85.24 | 88.95 | 88.62 | 89.66 | 89.54 | 85.25 | 87.88 | 1.89 | | CNN | 92.52 | 95.62 | 94.28 | 93.52 | 94.85 | 94.20 | 94.17 | 0.98 |
| Hybrid | CNN | 96.20 | 94.82 | 95.08 | 92.96 | 98.11 | 96.01 | 95.53 | 1.56 |
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