An ultra-low-power monitoring system for inductively coupled biomedical implants
Bibliographic record
Abstract
In this paper, an ultra-low-power system for wireless monitoring of inductively coupled biomedical implants is presented. The system is fully integrated and composed of custom rectifier, alignment and monitoring circuits with enhanced performance. The proposed system is described in the context of a smart-stent system that monitors the re-narrowing of blood vessels at the smart-stent site. The building blocks of the system are designed and simulated in a 0.13-μm CMOS technology. Simulation results for the monitoring system show that the proposed rectifier provides 53% power conversion efficiency (PCE) for -10.36 dBm input power (in the alignment mode) and 62% PCE for -4.06 dBm input power (in the monitoring mode). The alignment unit is capable of operating by drawing a 12 μA from a supply voltage as low as 0.6 V and the monitoring circuit consumes as low as 176 μW.
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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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".