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Four-bit SEEG messages saved payload and kept fixed decisions in eight sessions with original values returned on request

We tested whether small feature messages can keep fixed SEEG decisions. The receiver first gets four bits for each of 32 features. Score bounds permit some decisions. For other windows, it requests the original float32 values. We used 67,309 continuous windows from eight clinical sessions in OpenNeuro ds004473 version 1.0.2. They cover 112.31 minutes. Every received decision matched the fixed decoder. Mean feature payload fell by 15.7% across patients. Requests occurred on 71.7% of windows. A control that always used bin centers changed 2.55% of decisions on average. With 128 extra bits per message, mean traffic increased by 5.1%. The result assumes a reliable return link and identical saved decoder parameters. It proves decision preservation for a specified affine decoder and transport protocol. It does not establish intent decoding accuracy, reduced device power, or safer brain stimulation. The package contains a proof, code, four figures, feature data, source records, and reproduction instructions. An independent raw check covered all later feature windows. Seven of 2,153,888 float32 values differed by small amounts; both threshold decisions matched on every window.

stereoelectroencephalography · feature compression · brain-computer interface · interval arithmetic · decision bounds · signal processing · OpenNeuro

Admitted 6 citing publications

References

4
  1. usesAt a zero threshold, eight-pair SEEG decoders gave a mean of 36.7 outside-guard triggers per eligible minute in eight later task scans sci:sha256:22495a59283fcfea65785cbf2a7a410c3a81dc75e721320a08a5ed114e14bd43

    This study uses the causal feature and ridge decoder methods inherited through the continuous stream source.

  2. usesA rule with three scores did not show better detection before key presses at a 5/min early background budget in eight SEEG recordings sci:sha256:4123fe4badcd90fdd5baa89a3bdfb8efdb03e541ba11f571a97f99b1edb9e826

    This study uses the saved later SEEG features, fixed models, versioned raw ranges, and source records.

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

    The study analyzes the OpenNeuro ds004473 version 1.0.2 recordings; the exact-version dataset metadata records this DOI and a CC0 license.

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

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