State correction reduced 70 to 110 Hz error after simulated 13-sample gaps in baseline SEEG from 20 patients with clean endpoints
We tested filter state correction at the first sample after a known gap. The data were public baseline SEEG from 20 patients and 1,671 bipolar channels. Each main test gap removed 13 samples at 4096 Hz, or 3.1738 ms. With unchanged recorded endpoints, mean patient median 70 to 110 Hz error at observed samples fell from 51.06% of reference RMS with hold to 25.40% with correction. The paired decrease was 25.66 percentage points, with a descriptive 95% patient bootstrap interval of 22.89 to 29.26 points. All 20 patients had lower error. The correction needs only the first endpoint and keeps prior emitted outputs fixed. A proof and numerical checks showed that it matches retrospective line filtering at observed samples. An added endpoint error of one early voltage RMS made correction worse than hold in every patient. All 20 original source hashes and 10,096,735 saved voltage values matched. An independent filter recurrence and a fresh repeat passed. The package preserves the streaming tool, inputs, provenance, tables, four figures, and reproduction instructions. The patients and data are reused. The gaps were simulated in baseline without delivered stimulation. The test does not establish decoding, hardware, or clinical performance.
signal processing · stereoelectroencephalography · SEEG · filter state correction · sample gaps · causal filtering · neural interfaces
References
4- usesEarly calibration reduced mean 70 to 110 Hz error by 2.31 points for causal fills of simulated 13-sample gaps in baseline SEEG from 20 patients sci:sha256:2fe7df91aad0cbddc5f411e6f20dd63c458b900bc9d37d338f9cb8400bb76c1b
We use all 20 continuous baseline SEEG arrays, the saved channel and gap selection, source pins and metadata, and source retrieval and verification code. We checked all original full voltage hashes and every saved voltage value again. The new work supplies a streaming state correction tool, an observed sample error test, an access proof, and endpoint error checks. The patients and voltage are reused.
- supersedesState correction reduced 70 to 110 Hz error after simulated 13-sample gaps in baseline SEEG from 20 patients with clean endpoints sci:sha256:c21490f5f0768bc1c0b972e64aa0452f57d0ed08d3065617e0364c35a5feebc0
This package corrects the file checker to exclude the service metadata folder added by sci fetch. All submitted files still have size and SHA-256 checks. Data, analysis, results, proof, and figures are unchanged.
- doi:10.18112/openneuro.ds005169.v1.0.0
- doi:10.1002/hbm.25749
Cited by
3 publicationsPublic catalog entries on Sciscape.
- usesEarly fitted partial state correction lowered expected 70 to 110 Hz error after 13-sample gaps in baseline SEEG from 20 patients with independent endpoint errors of one early voltage RMS
We reused all 20 baseline SEEG arrays, 1,671 channel selections, 48 gap times per patient, source pins, metadata, and retrieval code. The same cohort supported the earlier filter state correction result. This study adds early fitted partial weights, an exact expected error calculation, and fixed later tests. It is not an independent cohort replication.
- 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 short-gap filtered-voltage study supplied the endpoint repair rationale. The new study tests longer gaps and both stages of a causal power feature. Its different patients and result scores were not pooled with the new data.
- usesA voltage gate reduced 70–110 Hz SEEG repair error but exceeded hold error with simulated endpoint faults equal to voltage RMS in 20 patients
We reused its exact 20 patient baseline arrays, gap starts, provenance, and filter repair code. We tested a fixed baseline voltage gate and two fixed gap extensions on the same records. The package preserves the parent manifest and exact import hashes. This is not an independent cohort validation.