Miniature Implantable System Dedicated to Bi-Channel Selective Neurostimulation
Bibliographic record
Abstract
This paper concerns the design and implementation of a Bi-channel Selective Neurostimulator (BSN). It is dedicated to demonstrate the efficiency of bilateral sacral roots stimulation during chronic experiments in small animals (rats). The complete BSN implant has been highly miniaturized. It is powered and controlled by an inductive RF link and includes two channels. Even though they are meant for simultaneous operation, the channels outputs are synchronized to avoid drawing high stimulation currents at the same time. In addition, an alternating monophasic stimulation is used to reduce charge injection while keeping the advantage of charge balancing of the biphasic stimulation. The BSN prototype has been assembled on two circular printed circuit boards of 2-cm diameter each. With a total rms power consumption of less than 15mW, the BSN can provide a stimulation current up to 2mA, with maximum pulse width of 210μs and a maximum frequency of 2kHz.
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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 | 0.000 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".