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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.
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BMC Neuroscience

ISSN: 1471-2202

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