Skip to main content

Advertisement

Table 1 Classification performance of the algorithm versus the ground truth events for Driving Data 1 for three data conditions: the full data without partitioning, the training data and the testing data, respectively

From: Detecting alpha spindle events in EEG time series using adaptive autoregressive models

  Full data Training data Testing data
Sensitivity/Recall .915 .895 .863
Specificity .966 .966 .984
Precision .536 .612 .581
Hit Rate 97.87% (138/141) 100% (96/96) 93.33% (42/45)
Spindle Temporal Error ~96 ms ~120 ms ~150 ms
Agreement 146.430 s 98.617 s 43.055 s
Null Agreement 3591.156 s 1762.414 s 1861.141 s
False Negative 13.586 s 11.531 s 6.813 s
False Positive 126.828 s 62.445 s 31.000 s
  1. A fuzzy window parameter of 0 s was used.