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A check of the newest 11 SEEG samples accepts 500 ms windows with constant runs after stimulation in ds005558

We tested checks of SEEG input windows after nominal stimulation in OpenNeuro ds005558 version 1.0.0. We used all 11 bipolar SEEG recordings from seven people, with 754 stimulation events and 754 controls. The primary input had 500 samples at 1000 Hz. Each event had 101 completed windows after nominal train end. The first check accepted a channel when its newest 11 sample codes were not all equal. Some accepted windows still contained an earlier complete run of 11 equal codes. The mean conditional rate across people was 6.36%, with equal person weight. Two sessions from one person had rates of 37.07% and 52.44%. Controls had zero observed violations. A causal check of the full window excluded each complete qualifying run. For an isolated run with no later qualifying run, this check adds 489 ms under the primary settings. The measured median extra waits at a 90% channel threshold were 390 ms and 490 ms in those sessions. The package has a proof, stream code, sufficient run tables, 22 raw excerpts, four figures, source pins, and a rebuild recipe. Fresh source audits and an offline numerical replay passed. The large effect is from one person in a reused cohort. This work tests a repeated-code pattern and does not establish BCI accuracy.

SEEG · brain-computer interface · signal processing · sample repetition · streaming quality check · stimulation

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References

4
  1. usesSample times locate stimulation bursts in 11 SEEG recordings from OpenNeuro ds005558 version 1.0.0 sci:sha256:df1ea802c869abaea97a7b95bc606cc84b978f96243f31357ef16d5b3c852f96

    We used its evidence for the event sample clock and its source pin lineage through the cited parent. These inputs locate each stimulation marker and identify the exact public EDF versions.

  2. usesConstant SEEG runs continue after nominal stimulation ends in two ds005558 recordings from one person sci:sha256:78861a25c9795deb6c7b36d69534cf13a8cfed5003b2120cc8496832097f6d94

    We used its source metadata, pinned EDF versions, event selection, and MIT retrieval and validation code. Its constant-tail result motivated the new completed-input-window test. We extended excerpts to +2000 ms and saved exact run tables. The people and events are shared.

  3. usesA screen for large signal changes accepted constant blocks of 20 samples during marked stimulation in five of 11 ds005558 SEEG recordings sci:sha256:2d9e66f0835e66b0a9f1bca47a78113b6fd673aaad8f8873391f260cd6cdeb09

    Its result showed that a signal-change screen can accept constant blocks. That failure helped define our question about complete feature inputs. We did not use its screen as the tested decision rule.

  4. usesdoi:10.18112/openneuro.ds005558.v1.0.0

    Source dataset analyzed: OpenNeuro ds005558 version 1.0.0; all 11 available bipolar SEEG recordings and their saved metadata were used.

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