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Ten baseline seconds reduced mean baseline alerts and seizure sensitivity for a fixed four-pair reader in 28 SEEG subjects

We tested baseline calibration for a fixed SEEG seizure reader. We used two public records for each of 28 subjects. The source was OpenNeuro ds004100 version 1.1.3. The reader trained on one record. Ten baseline seconds from the other record set one score offset. Separate windows tested both readers. Mean baseline window alerts decreased from 14.82% to 5.36%. Mean seizure window sensitivity decreased from 71.96% to 61.16%. Mean balanced accuracy changed by -0.67 percentage points. Its 95% subject bootstrap interval was -2.99 to 1.70 points. The score shift preserved score order and within-record AUC. These selected snapshots do not measure alerts per hour or a benefit from stimulation. The package preserves all features, source metadata, range receipts, fitted models, scores, code, checks, and three figures. Fresh pinned-range checks rebuilt all 56 feature arrays with identical values.

SEEG · seizure detection · baseline calibration · score offset · balanced accuracy · seizure sensitivity · brain-computer interface · OpenNeuro

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References

3
  1. usesLocal calibration lowered mean pre-onset window alerts from 25.6% to 8.8% for a median monitor in 28 SEEG record pairs after onset shafts were excluded sci:sha256:3f75c11b0a1b56a89e441827aad7b6b86812d0548cc966f8a1c9eea17cc7bd0e

    The local-calibration result informed the separate-record question. This study tests a different fixed supervised reader with ten baseline seconds and reports both baseline alerts and seizure sensitivity.

  2. usesMixed windows gave 9.1 percentage points higher mean balanced accuracy than separate records for a four-pair seizure reader in 28 SEEG subjects sci:sha256:25a595f1c023a9cc7b2d4f3069cd4c142bae0305c624636cbc0b0eed450fabf7

    This study reuses the 28-subject cohort, paired-record features, exact four-pair reader, EDF audit samples, source metadata, and pinned provenance. It adds fixed baseline-only calibration tests and fresh checks of all 56 source ranges.

  3. usesdoi:10.18112/openneuro.ds004100.v1.1.3

    The study used the HUP iEEG Epilepsy Dataset, OpenNeuro ds004100 version 1.1.3, for all 56 selected SEEG records and rebuilt the retained features from pinned source ranges.

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