sciscape Publications
← All publications

Joint sample and bit reduction met a 2-point mean loss limit in eight fixed SEEG decoders under paired t assumptions

In eight public clinical SEEG recordings, a fixed digital pipeline removed each buffer mean, reduced 500 samples to 125, and stored 8-bit codes. Mean balanced accuracy was 70.69% for original inputs and 70.96% for byte messages. The one-sided 95% upper bound on mean loss was 0.60 points under paired t assumptions. This met the fixed 2-point mean limit. One person lost 2.15 points. Sample bytes fell eightfold relative to original int16 differences and sixteenfold relative to a float32 reference. The package has code, compact data, models, source recipes, all results, and three figures. The test used 674 later trials from the same recordings as prior studies. It does not establish live BCI performance or brain stimulation.

stereoelectroencephalography · signal processing · sample reduction · quantization · brain-computer interface · fixed decoder · balanced accuracy

Admitted 0 citing publications

References

5
  1. usesZero-centered 8-bit waveform codes reduced frozen SEEG task-state accuracy from 70.7% to 50.6% in eight recordings sci:sha256:f11a99582db0d0fff28986ef433b9cde1661cb1668cb5772f0a78262582c2b8c

    We used the compact native waveforms, reference features, fixed model states, source metadata, and separate voltage-code result.

  2. usesEight SEEG pairs classify pre-response and rest windows at 70.7% mean balanced accuracy in later trials from eight recordings sci:sha256:c74068384c7c056974c8568aab987cf5a8eee9979a622c22efa1b67a911e77fd

    We used the original decoder definition, selected pairs, power features, trial splits, and quality rules.

  3. usesFourfold filtered sampling reduced mean balanced accuracy by 0.58 points in eight offline SEEG decoders sci:sha256:f6f8bca9acbea141638cc5f4a86edba485bc8db75a281ef10abe65f1fc04225a

    We used the separate sample-reduction evidence and its diagnostic buffer mean removal test to set the joint protocol.

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

    The analysis used all eight participants from OpenNeuro ds004473 version 1.0.2; the source version and dataset DOI are recorded in the preserved provenance.

  5. doi:10.1088/1741-2552%2Facae0a

Cited by

0 publications

Public catalog entries on Sciscape.

No incoming citations on Sciscape.