Fully integrated rectification and bin-integration analog circuit for biomedical signal processing
Bibliographic record
Abstract
In this paper, we describe the simulation and measurement results of a fully integrated low-voltage CMOS rectification and bin-integration (RBI) module based on switched-capacitor and dedicated to nerve signal (Electroneurogram) acquisition and processing. RBI is the most common signal processing function applied to the nerve signals and since the frequency of these signals is relatively low, switched-capacitor architecture has been used. The proposed device comprises a new always-valid output sample-and-hold block followed by a full wave rectifier and a three-stage bin-integrator. The integrated circuit has been realized in CMOS 0.35 mm technology. The design, simulation and measurement results of the proposed module are presented. At plusmn1.3 V supply, the device delivers an RBI error of less than -45 dB for a sine wave input of 7.2 kHz that is the main component of the nerve signal and an output dynamic range of plusmn1.1 V while dissipating 578 muW and occupying a silicon area of 5.83 mm2.
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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) | 0.003 | 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".