Sub-threshold Current Conveyer for Current-Mode Processing Bio-Analog Front Ends
Bibliographic record
Abstract
Current-mode analog front ends for reading biosensors have emerged as a prominent design approach in recent times. This method involves processing input current signals directly with current-mode blocks instead of converting them to voltage and utilizing voltage-mode blocks. The primary advantages include reduced power consumption, minimized area usage, and increased dynamic range, particularly at low voltage levels. In current-mode design, the current conveyor plays a pivotal role. Therefore, this work focuses on the design and fabrication of a second generation current conveyor (CCII) to serve as a current buffer in low-LED photoplethysmography (PPG) or any bio-potential readout analog front end with input currents ranging from 1.5nA to 1000nA. Our fabricated CCII consumes 1.79µW and the <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\beta$</tex> dependency to the load is improved 33% in compared to previous design. Also, X node follows Y node voltage with 10mv variation for full input current range. The area usage of our CCII is <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$3400 um^{2}$</tex>.
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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 | 0.001 |
| 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".