Application of Velocity Filters to Somatosensory Evoked Potential Measurements for Removal of Stimulus Artifact
Bibliographic record
Abstract
In this paper, velocity filtering is applied to somatosensory evoked potential (SEP) measurements to remove the stimulus artifact (SA). Using an array of electrodes, velocity information is used as a criterion for discerning the SEP from the SA. The SEP is known to propagate at speeds below 100 m/s due to nerve physiology, whereas the SA propagation mode is electromagnetic, and propagates near the speed of light. The velocity filtering method is presented, with spatial frequency resolution, physical array implementation, filter realization, and trace-to-trace consistency of the measurements identified as factors that influence overall performance. SEP data from the median nerve were recorded using an 11 channel array at the wrist, with stimulation at the index finger. These data are used to assess the velocity filtering method. The filter output is analyzed qualitatively showing a visual improvement in the SEP measurement when compared against the filter input. It is concluded that the SNR gain of the filter is promising, but distortion in the SEP estimate may occur due to spatial frequency resolution and trace-to-trace inconsistencies in the measurements
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How this classification was reachedexpand
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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".