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A complete saved state reproduced causal power after restarts in 35 SEEG records with no input gaps

We tested recovery of causal SEEG power after simulated software restarts. We used 35 public records from 21 patients in OpenNeuro ds006519 version 1.0.0. All input samples were present. The feature used a causal band filter and a past-only 100 ms power mean. We tested 276 fixed boundaries in each of two bands. In the main 70 to 110 Hz comparison, a 100 ms voltage replay reduced mean normalized RMS error from 1.4513 to 0.7795. Error was lower in 20 of 21 patients. The paired mean reduction was 0.6718, with a descriptive 95 percent patient bootstrap interval from 0.4649 to 0.8962. Saving both processing states reproduced continuous power within numerical tolerance at all 552 boundary-band checks. Saving only one stage left error. The complete dynamic state used less storage than a 250 ms float32 voltage buffer at both native sample rates. The package preserves exact selected voltage, source hashes and checks, code, scores, a state proof, figures, and the fixed plan with a duration correction. This is a software recovery benchmark. It does not test decoder performance or a safe read delay after stimulation.

SEEG · causal signal processing · state restoration · software restart · power feature · replay buffer · reproducible benchmark

Admitted 15 citing publications

References

2
  1. usesA centered 100 ms mean used future voltage after causal filtering in 10 SEEG recordings sci:sha256:12aa05a70c371c12f0af618bb7453b8c12ae93f6d4378026d1ad0b1ecad09c1f

    This publication supplied lossless full-duration voltage for four fixed source-order channels in all 35 records, source metadata, and binary source hashes. We rebuilt every selected array from fresh full OpenNeuro voltage files. We did not use its event detector or outcome selection.

  2. usesdoi:10.18112/openneuro.ds006519.v1.0.0

    The benchmark uses the released SEEG voltage and pre/post analysis event tables from OpenNeuro ds006519 version 1.0.0.

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15 publications

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