Crosstalk resistant adaptive noise cancellation applied to somatosensory evoked potential enhancement
Why this work is in the frame
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Bibliographic record
Abstract
Somatosensory evoked potentials (SEPs) are extremely useful in peripheral nerve monitoring and in the diagnosis of various neuromuscular disorders. However, surface measurements of these potentials often result in imperceptible SEP waveforms due to the very poor signal-to-noise ratio (SNR). Adaptive noise cancelling is an attractive technique which can be used to improve this poor SNR. One of the important factors that affect the performance of an adaptive noise canceller (ANC) is the presence of SEP components in the reference channel of the ANC. The authors propose a novel multichannel crosstalk resistant adaptive noise canceller (MCRANC) for offsetting the problems caused by the "SEP" crosstalk. The performance of this MCRANC is evaluated analytically and through simulations.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it