Table 3 Comparison between the SDAR algorithm fitting and the ASD algorithm for channel PO7 of Driving Data 1
From: Detecting alpha spindle events in EEG time series using adaptive autoregressive models
| SDAR | ASD algorithm without ICA | ASD algorithm with ICA | |
|---|---|---|---|
| Sensitivity/Recall | .942 | .607 | .529 |
| Specificity | .984 | .728 | .909 |
| Precision | .728 | .094 | .209 |
| Hit Rate | 97.16% (137/141) | 78.72% (111/141) | 66.67% (94/141) |
| Spindle Temporal Error | ~150 ms | ~478 ms | ~560 ms |
| Agreement | 157.008 s | 104.063 s | 88.961 s |
| Null Agreement | 3584.453 s | 2700.063 s | 3373.461 s |
| False Negative | 22.195 s | 67.320 s | 79.359 s |
| False Positive | 96.344 s | 1006.555 s | 336.359 s |
