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Twenty cosine coefficients increased mean 20–500 ms SEEG forecast error versus full scaled templates in eight patient sessions with five calibration pulses

We used public SEEG data to test compact stimulation response templates. Twenty fixed cosine coefficients increased full waveform error by 1.83% on average versus a full template scaled for noise. Each model used five calibration pulses. Tests used five later pulses at 86 sites in eight patients. The template used 20 values instead of 983. The 95% patient bootstrap interval for error change was [+0.60%, +3.25%]. The sample was used in prior studies. This was an offline voltage forecast test. It did not test a live brain interface.

stereoelectroencephalography · electrical stimulation · forecasting · cosine transform · signal compression · waveform error · intracranial EEG · neural engineering

Admitted 3 citing publications

References

5
  1. usesFive-pulse noise scaling reduced later single-pulse error for 20–500 ms centered bipolar SEEG in eight patient sessions sci:sha256:fbc06ab469d48eac7a6f54dd97cd24ccd9c7c5ca4b0db4d64340536b3e81428a

    This work supplied the fixed sample identities and the calibration noise scale rule. The new test compared a compact cosine template with that full waveform rule.

  2. usesEarly SEEG increased late forecast error in eight patient sessions with five calibration pulses and ridge strength 1 sci:sha256:84398bf3c7feb1c56467f8999e13d20cee476064678d534e4fc33c2a7dc7d90d

    This work supplied preserved readout and event tables, source hashes, source code records, and full waveform products. The new study rebuilt all eight source files and checked those products.

  3. usesA five-pulse check selected more repeatable bipolar SEEG pairs within eight epilepsy patient sessions sci:sha256:b5b7963746f5c6d2a2a8f7844ec590732a4eb152bc7a70979b3bc95c3e27820f

    This work supplied the inherited bipolar sample and source trial extraction method. The new study kept its source row identities and chronological pulse split.

  4. usesdoi:10.18112/openneuro.ds004696.v1.0.1

    The analysis used the author trial arrays from OpenNeuro ds004696 version 1.0.1; source file hashes and retrieval URLs are preserved.

  5. doi:10.1523/JNEUROSCI.2201-22.2023

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