A Low-Power Bioamplifier With a New Active DC Rejection Scheme
Bibliographic record
Abstract
We present a bioamplifier suitable for massive integration in implantable recording medical devices. This amplifier achieves reduced size and lower power consumption, compared to previous designs, by means of a novel DC rejection scheme. DC rejection is achieved by an active integrator located in the feedback loop of the bioamplifier. It places a highpass cutoff frequency within the transfer function, which is set by a small capacitor and a MOS-Bipolar equivalent resistor. This configuration rejects large DC offset and drift that exist at the electrode-electrolyte interface without the need for input RC networks or area consuming capacitors feedback networks, thus preserving the bioamplifier's high input impedance and small size. The proposed bioamplifier, designed in a 0.18-mum CMOS process, provides a midband gain of 53 dB, passes the neural signal from 105 Hz to 9.2 kHz and achieves an input-referred noise of 5 muVrms. It occupies less than 0.064 mm2and dissipates 8.4muW
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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 | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".