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
References
2- 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.
- 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.
Cited by
15 publicationsPublic catalog entries on Sciscape.
- usesShared gaps increased power shift test rejection in independent controls with spectra from 35 SEEG records
This archive supplied all 35 selected voltage arrays, the fixed channel rule, source metadata, and full source hashes. The new study uses fixed baseline crops and a new independent-control benchmark.
- usesA voltage cap from the past second failed in 34 of 1104 simulated 10 ms gaps in 35 SEEG records
We used all 35 four-channel voltage arrays, source metadata, source channel order, the analysis-window rule, and the voltage loader and retrieval code. We wrote the new gap analysis and bound tests. These studies share patients.
- usesQuadratic bounds reduced 70 to 110 Hz SEEG power range widths by 11.5% at 100 ms after simulated 25 ms gaps in 21 patients under equal voltage error norm limits
This publication supplied the exact four-channel voltage arrays, fixed source indices, event windows, source manifests, metadata, and retrieval code. Its causal state checks helped define the separate question about missing input. All 35 selected arrays were rebuilt from fresh original source files in the new study.
- usesA state set from the buffer mean reduced gamma power restart error after 100 ms replay in 35 SEEG records with complete input
This work supplied the restart offsets, causal filter and power feature, replay baseline, and continuous reference comparison. The new test uses all good channels and compares raw replay with a state set from the same past buffer mean.
- usesA 100 ms wait gave 1.9% mean channel agreement within 1% of baseline power after causal high-gamma resets in 35 SEEG records
This work supplied the causal Butterworth N=4 and 100 ms power chain precedent in the same two bands. Its complete state result motivated inclusion of both filter state and power buffer. The new study adds a current history bound, a streaming tool, and all released channels at source window starts. No source code or result table from this prior work was executed.
- usesA 100 ms wait did not keep causal 70 to 110 Hz power error below 5% of earlier power after holding voltage across 20 ms gaps in 35 SEEG records
This publication supplied the exact selected voltage for all 35 records, source metadata and hashes, and source retrieval scripts. The new study tests known sample loss with exact prior state and adds conditional power intervals.
- usesA past voltage mean reduced average 70–110 Hz power error versus zero fill after simulated 50 ms gaps in SEEG post windows from 21 patients
This work supplied all 35 selected voltage records, source metadata and hashes, and the unchanged retrieve.py and StreamPower code. The new study adds simulated voltage gaps while keeping correct prior state. It uses the same 21 patients.
- usesPower bounds were wide 100 ms after 10 ms gaps in 35 SEEG records under an assumed limit of twice an early voltage maximum
We used its exact four-channel voltage arrays, source metadata, source hashes, and retrieval code for OpenNeuro ds006519 version 1.0.0. We checked all 35 selected voltage arrays against fresh public source files. This study tests simulated input gaps and conditional power bounds.
- usesTwo energies bounded power changes from linear filter state in 35 SEEG records with complete input
The state-restoration and voltage-replay result motivated a check for the current power effect of known state. This study tests all source-good channels at marked post starts and matched pre cuts, with a fresh power buffer. It reuses no numerical result.
- usesA fitted voltage limit failed for 8.8 percent of 10 ms SEEG blocks after stimulation in 21 patients
This is the original saved-state voltage package behind the immediate input publication. Its selected full-record voltage and source channel order support our same-record study. All 35 arrays were rebuilt from fresh public source files in this run.
- usesA 1 mV gap bound kept accepted 70–110 Hz power error below 10% of baseline in 35 SEEG records
We reused exact selected full voltage arrays, source hashes, event metadata, and source retrieval code for all 35 records. We tested input gaps after equal prior states. The earlier study tested restarts with no input gaps.
- usesA complete power bound prevented releases with error above one percent of early mean power after 10 ms gaps filled with zero in 35 SEEG records from 21 patients under a missing voltage cap
This publication supplied all 35 selected voltage records, the public source and metadata manifests, the metadata files, and the retrieval code. These inputs enabled the independent gap and power gate test. The new test extends the earlier complete-input restart problem to unknown missing voltage.
- usesEndpoint repair reduced mean 70 to 110 Hz power error in the first 100 ms after simulated 50 ms gaps in 21 SEEG patients with unchanged endpoints
This publication supplied the exact four selected voltage channels for all 35 records, source records and metadata, and three unchanged scripts. They enabled the new known-gap power analysis and source rebuild. Its restart result values were not used as observations.
- usesQuadratic power limits reduced grid waits after simulated 10 ms SEEG gaps in 21 patients with missing voltage RMS bounded by five times past RMS
Uses exact selected voltage, fixed source manifests, compression layout, and adapted retrieval and source checks. Adds known simulated input gaps and conditional power limits.
- usesStored float32 packet means kept causal 70–110 Hz power errors below 5 percent of baseline for 100 ms packets in 21 SEEG patients
This study supplied the earlier full-record voltage package and the causal Butterworth 70–110 Hz filter with a trailing 100 ms power definition. We used the same processing definition to test packet input changes without filter resets. We do not claim a new filter or an independent patient replication.