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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
  1. A fuzzy window parameter of 0.1 s was used.