Research Article
Improving EEG-Based Motor Imagery Classification for Real-Time Applications Using the QSA Method
Table 8
Comparison results.
| Subject | iQSA | FDCSP | MEMD-SI-BCI | SR-FBCSP |
| | 0.8543 | 0.9166 | 0.9236 | 0.8924 | | 0.8296 | 0.6805 | 0.5833 | 0.5936 | | 0.8273 | 0.9722 | 0.9167 | 0.9581 | | 0.8509 | 0.7222 | 0.6389 | 0.7073 | | 0.7879 | 0.7222 | 0.5903 | 0.7810 | | 0.8284 | 0.7153 | 0.6736 | 0.6998 | | 0.8172 | 0.8125 | 0.6042 | 0.8824 | | 0.8466 | 0.9861 | 0.9653 | 0.9532 | | 0.8425 | 0.9375 | 0.6667 | 0.9192 |
| Average | 0.83164 | 0.8294 | 0.7292 | 0.8207 |
| Std | 0.02054 | 0.1238 | 0.1581 | 0.1302 |
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