An Active Electrode IC with Embedded Analog CMRR Enhancement for Interference- and Gain-Mismatch-Resilient EEG Recording
Bibliographic record
Abstract
We report the design, implementation, and experimental characterization of an EEG recording active electrode (AE) architecture that features analog in-AE common-mode rejection ratio (CMRR) improvement. Detailed system-level architecture and circuit implementation of the proposed AE is presented following a brief analytical and comparative review of the effect of gain and electrode impedance mismatch on CMRR degradation in state-of-the-art AE-based wearable EEG recording systems. An active electrode integrated circuit (IC) based on the proposed CMRR-enhancing architecture is fabricated in a 180nm CMOS technology and is experimentally characterized. Our measurement results show a CMRR of 82.2dB (at 60Hz), amplification voltage gain of 52.8dB, a bandwidth of 0.2-400Hz, ±350mv input DC offset tolerance, and 0.66µv integrated input referred noise (0.5-100Hz), while consuming 13.5µW per channel. An EEG recording has been performed using the developed AE IC connected to active electrodes placed on the forehead.
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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 | 0.001 | 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".