An anchor and difference code reduced mean six-bit 70 to 110 Hz power error in seven SEEG rest records with fixed limits
We compared two fixed-rate voltage codes on public SEEG rest data from seven people. Each record supplied eight contacts and seven adjacent differences. Both codes used early calibration and later test data. At six bits per value and fixed limits of six calibration standard deviations, an anchor and difference code reduced mean absolute 70 to 110 Hz power error from 9.84 to 2.11 dB. Error was lower in all seven records at the same 48-bit payload per sample. Mean contact waveform error rose from 8.74 to 10.24 percent. Mean bipolar waveform error fell from 25.34 to 6.27 percent. The descriptive 95 percent person-resample interval for the paired power-error difference was -9.89 to -5.46 dB. Other bit counts and voltage limits were secondary tests. Full source hashes, fresh sample reads, independent packet and Fourier checks, and a complete replay passed. The package keeps selected voltages, source records, code, a proof, packets, results, and four figures. This is an offline signal test. It does not test task decoding, hardware energy, or stimulation effects.
SEEG · signal compression · difference coding · high-gamma power · brain-computer interface · fixed-rate quantization
References
4- usesA dither correction reduced six-bit 70 to 110 Hz power error in seven SEEG rest records with fixed voltage limits sci:sha256:af44577f1aaa93d39072929cfbd90a046eea0db4fcfeec522394c48b8ec068d1
Its SEEG power errors helped to set the new question about coding adjacent contact differences. We reuse the public seven-person cohort, with different contact groups and a different power reader. Its results do not enter the new scores.
- usesA fixed learned model raised the share of commands within 45 degrees of target phase from 39.79 to 51.28 percent in offline 50 ms SEEG replay of seven rest records sci:sha256:f95e54eb370bc2e0e49af090e06dc6d39029b2a4542255ccea2520190080d0a9
We inspected its BrainVision source format and full-object SHA256 retrieval method. These details guided a new retrieval script. Contact selection and code tests are new. No prior selected arrays, fitted models, or scores enter the result.
- usesdoi:10.18112/openneuro.ds006065.v1.0.0
Source dataset, version 1.0.0; the analysis uses seven rest records and preserves their selected voltages and retrieval provenance.
- doi:10.1109/TITB.2011.2171703
Background example of established channel-difference coding for EEG compression.
Cited by
1 publicationPublic catalog entries on Sciscape.
- usesFour-bit error feedback reduced mean state log loss at 999 Hz and increased it at 250 Hz in eight SEEG recordings with fixed readers and limits of six times training RMS
Its rest-code power result motivated the matched task-reader question. The present analysis uses a first-order feedback code.