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eess.SP · Signal Processing

Past score medians did not lower mean background rate error in eight reused SEEG tests with 60 s histories

We tested whether a median of past reader scores improves later command rate control. We used public SEEG data from OpenNeuro ds004473 version 1.0.2. The main correction used 60 seconds of earlier scores. Each method was calibrated to three background commands per eligible minute. Mean absolute rate error rose from 1.266 to 1.355 commands per eligible minute. The mean change was +0.089. Its descriptive 95% person bootstrap interval was -0.442 to +0.657. Three people improved, three became worse, and two had no change. Keypress hits rose from 61 to 65 of 340. Background commands rose from 103 to 113. We report all planned 30 and 120 second checks. These offline tests reuse eight people and earlier test periods. The results do not establish performance in new people, new sessions, or live control. The package includes data, source records, code, three figures, results, and independent checks.

brain-computer interface · stereoelectroencephalography · signal processing · causal median correction · command rate · offline replay

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References

5
  1. Task background training increased mean detections and background commands in eight later SEEG streams at an early target of one command per eligible minute sci:sha256:d193eb1dd45105cd24c75e54cf8edf1698b27eda17d7a057b9662c28f33a06be

    [Legacy relation: reproduces] We used its fixed background reader design and saved fit inputs. We refit each reader with the preserved source code. All saved means, scales, and coefficients matched within 1e-12. This citation concerns reader fits; it does not claim an independent test of its patient outcomes.

  2. usesMoving-minute calibration left more than three background commands per eligible minute in seven of eight later offline SEEG task tests sci:sha256:b75e8b3e5203a4d6767b14967d68fc454f0c807449693d88c83cfd3215bec19a

    We used its eight continuous SEEG feature streams, event samples, fixed reader parameters, and source records. We retained its whole-block calibration rule as the comparator. We reproduced all fixed comparator counts before testing the new causal score correction.

  3. usesdoi:10.18112/openneuro.ds004473.v1.0.2

    Source dataset used for the continuous SEEG features and recorded keypress events; the study used version 1.0.2.

  4. doi:10.1088/1741-2552%2Facae0a
  5. doi:10.1007/978-3-642-21222-2_5

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