Investigating Non-invasive Saphenous Nerve Activity by various Electrode Configuration Recordings at the Ankle during Non-invasive Saphenous Nerve Stimulation
Bibliographic record
Abstract
Saphenous nerve stimulation is an emerging therapy that can potentially be used as a treatment in patients with overactive bladder (OAB). One of the challenges is the inability to determine whether the nerve is electrically activated. This thesis investigated the feasibility of non-invasively recording neural activity evoked by saphenous nerve stimulation. In 16 human subjects, four different recording electrode configurations (monopolar, bipolar, tripolar, and tetrapolar) were used to measure compound nerve action potentials (CNAP) and subsequently compare the peak-to-peak amplitude of the neural signal (Vpp) produced by recording electrodes. The tetrapolar recording configurations yielded the largest Vpp that was at least twice that of the other configurations. This configuration also enabled CNAP detection at lower stimulation amplitudes compared to monopolar configurations overall and one bipolar configuration (Bi4-5). This non-invasive recording technique provides the first-in-human data that shows the feasibility of using a tetrapolar recording configuration for measuring saphenous nerve signals in humans. Further clinical study is required to assess feasibility in OAB patients.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".