sciscape Publications
← All publications

Median block powers gave higher task-state accuracy than mean powers for simulated 1 mV, 10-sample SEEG faults on one contact in eight recordings

This study used fixed public SEEG inputs from OpenNeuro ds004473 version 1.0.2. It compared the mean and median of five separate 100-sample band powers. Each decoder used the same eight bipolar pairs and 500-sample task window. Early trials supplied the fits. The later test had 674 trials from eight epilepsy recordings. The primary digital fault changed one source contact for 10 samples, with opposite 1 mV values in its two halves. Every selected contact, all 491 starts, and both signs were tested. Mean balanced accuracy was 56.85%; median accuracy was 67.79%. The paired gain was 10.94 percentage points, with a 95% person bootstrap interval of 5.97 to 16.44. All eight recordings showed a gain. On unmodified inputs, the median lost 4.10 points relative to the mean. An amplitude-independent outer score bound fixed the decision on 5.82% of later windows for arbitrary finite changes in any 10 consecutive samples on one contact. The bound assumes separate local processing and an available recorded reference. Exact inputs, source hashes, code, fitted models, results, a proof, and four figures are preserved. Direct voltage checks, independent library checks, and a complete repeat passed. The later trials were used in prior studies. This offline result does not establish a benefit in a live interface or under real stimulation.

stereoelectroencephalography · SEEG · median power · fault robustness · task-state decoding · digital fault · signal processing

Admitted 6 citing publications

References

5
  1. usesA causal filter gave higher fixed decoder accuracy than fourfold sample removal alone in eight SEEG recordings sci:sha256:e48923d80e223e23c65d73b7a5e6734993070247d942334dabdcfd1ffa26c7b6

    This upstream study supplied the source derivation and pinned EDF byte range records for the native input windows. Those records support the source audit and rebuild recipe.

  2. usesTen spaced gaps gave lower mean zero-fill SEEG accuracy than a circular gap block at 20 percent simulated sample loss in eight fixed decoders sci:sha256:35c3a178c2212bd9b314433661dfc484678cb20f0c291b7c94bc044397f7c9b9

    This study uses the exact 500-sample integer bipolar inputs, fixed early/later split, selection files, source records, and frozen full-window models. The copied files match the parent manifest hashes.

  3. usesEight SEEG pairs classify pre-response and rest windows at 70.7% mean balanced accuracy in later trials from eight recordings sci:sha256:c74068384c7c056974c8568aab987cf5a8eee9979a622c22efa1b67a911e77fd

    This upstream study supplied the task-state definitions, trial exclusion rules, early-trial pair selection, and fixed native decoder. The present work holds those choices fixed.

  4. doi:10.18112/openneuro.ds004473.v1.0.2
  5. doi:10.1088/1741-2552%2Facae0a

Cited by

6 publications

Public catalog entries on Sciscape.