sciscape Publications
← All publications

Fixed ECG models had negative mean test skill in nine adults' rest and film SEEG at 1 to 20 Hz

We tested transfer of a fixed ECG voltage model between paired rest and film SEEG records. We used 574 good contacts in nine adults from OpenNeuro ds003688, version 1.0.7. Each model used an early 50 second block and separate late test samples at 1 to 20 Hz. Training in the test record reduced mean normalized error by 2.553 percentage points. The adult bootstrap 95 percent interval was 0.307 to 5.378 points. The exact sign enumeration test gave p = 0.03125, under independent adults and symmetric score errors. Six adult gains were positive. The median gain was 0.355 points. Three adults contributed 96 percent of the signed gain sum. Mean test skill was negative with both training choices: -0.563 percent within records and -3.116 percent across records. All planned sensitivity checks had positive mean gains. Timing controls did not establish a signal source. The result applies to this fixed model and these short clinical records. It does not show that ECG subtraction removes artifacts or separates task and session effects. The package preserves compact inputs, source versions and hashes, code, coefficients, scores, figures, and reproduction instructions.

ECG · SEEG · stereoelectroencephalography · electrocardiography · model transfer · intracranial EEG · signal processing · ridge regression

Admitted 4 citing publications

References

4
  1. usesBipolar reference changed linear ECG prediction skill in both directions compared with common average reference in nine adult rest SEEG records sci:sha256:0ab9025de2c32e339ac12889a218c711c42b734b2f0263ba9eb03b05afa008c3

    This publication supplied the fixed nine adult sample, 128 Hz rest signal arrays, source metadata, and selection and retrieval code. We added matched film records and tested ECG model transfer between records.

  2. usesdoi:10.18112/openneuro.ds003688.v1.0.7

    The paired rest and film SEEG records analyzed here came from OpenNeuro ds003688 version 1.0.7; the dataset metadata identifies this exact version and its CC0 license.

  3. doi:10.1038/s41597-022-01173-0
  4. doi:10.1109/EMBC.2013.6609929

Cited by

4 publications

Public catalog entries on Sciscape.