Table 3.
Metrics of the LSTM classifier with different time windows
| Time window (s) | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | |
| Accuracy | ||||||||||
| Mean | 0.7661 | 0.8084 | 0.8401 | 0.8735 | 0.8787 | 0.8804 | 0.9094 | 0.9127 | 0.9065 | 0.9214 |
| sd.s | 0.1606 | 0.1496 | 0.1454 | 0.1367 | 0.1199 | 0.1310 | 0.1057 | 0.0911 | 0.1062 | 0.0935 |
| Sensitivity | ||||||||||
| Mean | 0.7075 | 0.7642 | 0.8139 | 0.8548 | 0.8563 | 0.8558 | 0.8990 | 0.8891 | 0.8967 | 0.9162 |
| sd.s | 0.1948 | 0.1971 | 0.1502 | 0.1721 | 0.1651 | 0.1741 | 0.1217 | 0.1147 | 0.1062 | 0.1267 |
| Specificity | ||||||||||
| Mean | 0.8247 | 0.8526 | 0.8662 | 0.8922 | 0.9011 | 0.9050 | 0.9199 | 0.9363 | 0.9163 | 0.9267 |
| sd.s | 0.1616 | 0.1518 | 0.1703 | 0.1153 | 0.1041 | 0.1268 | 0.1097 | 0.0802 | 0.1419 | 0.0640 |
| Matthew correlation coefficient | ||||||||||
| Mean | 0.5397 | 0.6316 | 0.6952 | 0.7563 | 0.7700 | 0.7776 | 0.8276 | 0.8373 | 0.8281 | 0.8534 |
| sd.s | 0.3268 | 0.2907 | 0.2815 | 0.2662 | 0.2279 | 0.2429 | 0.2014 | 0.1687 | 0.1939 | 0.1769 |
The sample mean and standard deviation are calculated as the average of 13 subjects with 20 runs each